Computational Intelligence For Oncology And Neurological Disorders

Author : Mrutyunjaya Panda,Ajith Abraham,Biju Gopi,Reuel Ajith
Publisher : CRC Press
Page : 292 pages
File Size : 50,7 Mb
Release : 2024-07-15
Category : Computers
ISBN : 9781040085622

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Computational Intelligence for Oncology and Neurological Disorders by Mrutyunjaya Panda,Ajith Abraham,Biju Gopi,Reuel Ajith Pdf

With the advent of computational intelligence-based approaches, such as bio-inspired techniques, and the availability of clinical data from various complex experiments, medical consultants, researchers, neurologists, and oncologists, there is huge scope for CI-based applications in medical oncology and neurological disorders. This book focuses on interdisciplinary research in this field, bringing together medical practitioners dealing with neurological disorders and medical oncology along with CI investigators. The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders. Drawing from work across computer science, physics, mathematics, medical science, psychology, cognitive science, oncology, and neurobiology among others, it combines theoretical, applied, computational, experimental, and clinical research. It will be of great interest to any neurology or oncology researchers focused on computational approaches.

Author : Mrutyunjaya Panda,Ajith Abraham,Biju Gopi,Reuel Ajith
Publisher : Unknown
Page : 0 pages
File Size : 46,9 Mb
Release : 2024-07
Category : Medical
ISBN : 1032584602

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Computational Intelligence for Oncology and Neurological Disorders by Mrutyunjaya Panda,Ajith Abraham,Biju Gopi,Reuel Ajith Pdf

Author : Janmenjoy Nayak,Danilo Pelusi,Bighnaraj Naik,Mishra Manohar,Khan Muhammad,David Al-Dabass
Publisher : Academic Press
Page : 422 pages
File Size : 47,8 Mb
Release : 2023-04-12
Category : Science
ISBN : 9780323903530

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Computational Intelligence in Cancer Diagnosis by Janmenjoy Nayak,Danilo Pelusi,Bighnaraj Naik,Mishra Manohar,Khan Muhammad,David Al-Dabass Pdf

Computational Intelligence in Cancer Diagnosis: Progress and Challenges provides insights into the current strength and weaknesses of different applications and research findings on computational intelligence in cancer research. The book improves the exchange of ideas and coherence among various computational intelligence methods and enhances the relevance and exploitation of application areas for both experienced and novice end-users. Topics discussed include neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. The book's chapters are written by international experts from both cancer research, oncology and computational sides to cover different aspects and make it comprehensible for readers with no background on informatics. Contains updated information about advanced computational intelligence, spanning the areas of neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems in diagnosing cancer diseases Discusses several cancer types, including their detection, treatment and prevention Presents case studies that illustrate the applications of intelligent computing in data analysis to help readers to analyze and advance their research in cancer

Author : Khalid Raza
Publisher : Springer Nature
Page : 474 pages
File Size : 54,5 Mb
Release : 2022-03-01
Category : Technology & Engineering
ISBN : 9789811692215

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Computational Intelligence in Oncology by Khalid Raza Pdf

This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics. The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHO’s recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management. Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.

Author : Ajith Abraham,Sujata Dash,Subhendu Kumar Pani,Laura García-Hernández
Publisher : Academic Press
Page : 434 pages
File Size : 42,6 Mb
Release : 2022-09-23
Category : Medical
ISBN : 9780323902786

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Artificial Intelligence for Neurological Disorders by Ajith Abraham,Sujata Dash,Subhendu Kumar Pani,Laura García-Hernández Pdf

Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods. Chapters include AI techniques for the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapy advances. Discusses various AI and ML methods to apply for neurological research Explores Deep Learning techniques for brain MRI images Covers AI techniques for the early detection of neurological diseases and seizure prediction Examines cognitive therapies using AI and Deep Learning methods

Author : Michael O. Dada,Bamidele O. Awojoyogbe
Publisher : Springer Nature
Page : 412 pages
File Size : 52,8 Mb
Release : 2021-07-31
Category : Science
ISBN : 9783030767280

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Computational Molecular Magnetic Resonance Imaging for Neuro-oncology by Michael O. Dada,Bamidele O. Awojoyogbe Pdf

Based on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T1 and T2 relaxation data. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medical personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic resonance imaging for medical diagnosis, prognosis, therapy and management of tissue diseases.

Author : D. Jude Hemanth
Publisher : Elsevier
Page : 304 pages
File Size : 48,8 Mb
Release : 2023-11-17
Category : Science
ISBN : 9780443137730

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Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications by D. Jude Hemanth Pdf

Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications explores the different possibilities of providing AI based neuro-rehabilitation methods to treat neurological disorders. This book provides in-depth knowledge on the challenges and solutions associated with the different varieties of neuro-rehabilitation through the inclusion of case studies and real-time scenarios in different geographical locations. Beginning with an overview of neuro-rehabilitation applications, the book discusses the role of machine learning methods in brain function grading for adults with Mild Cognitive Impairment, Brain Computer Interface for post-stroke patients, developing assistive devices for paralytic patients, and cognitive treatment for spinal cord injuries. Topics also include AI-based video games to improve the brain performances in children with autism and ADHD, deep learning approaches and magnetoencephalography data for limb movement, EEG signal analysis, smart sensors, and the application of robotic concepts for gait control. Incorporates artificial intelligence techniques into neuro-rehabilitation and presents novel ideas for this process Provides in-depth case studies and state-of-the-art methods, along with the experimental study Presents a block diagram based complete set-up in each chapter to help in real-time implementation

Author : Kenji Suzuki
Publisher : Springer Science & Business Media
Page : 410 pages
File Size : 41,7 Mb
Release : 2013-11-19
Category : Technology & Engineering
ISBN : 9781461472452

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Computational Intelligence in Biomedical Imaging by Kenji Suzuki Pdf

Computational Intelligence in Biomedical Imaging is a comprehensive overview of the state-of-the-art computational intelligence research and technologies in biomedical images with emphasis on biomedical decision making. Biomedical imaging offers useful information on patients’ medical conditions and clues to causes of their symptoms and diseases. Biomedical images, however, provide a large number of images which physicians must interpret. Therefore, computer aids are demanded and become indispensable in physicians’ decision making. This book discusses major technical advancements and research findings in the field of computational intelligence in biomedical imaging, for example, computational intelligence in computer-aided diagnosis for breast cancer, prostate cancer, and brain disease, in lung function analysis, and in radiation therapy. The book examines technologies and studies that have reached the practical level, and those technologies that are becoming available in clinical practices in hospitals rapidly such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy.

Author : Sasikumar Gurumoorthy,Naresh Babu Muppalaneni,Xiao-Zhi Gao
Publisher : Springer
Page : 70 pages
File Size : 48,7 Mb
Release : 2017-09-05
Category : Technology & Engineering
ISBN : 9789811065293

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Computational Intelligence Techniques in Diagnosis of Brain Diseases by Sasikumar Gurumoorthy,Naresh Babu Muppalaneni,Xiao-Zhi Gao Pdf

This book highlights a new biomedical signal processing method of extracting a specific underlying signal from possibly noisy multi-channel recordings, and shows that the method is suitable for extracting independent components from the measured electroencephalogram (EEG) signal. The system efficiently extracts memory spindles and is also effective in Alzheimer seizures. Current developments in computer hardware and signal processing have made it possible for EEG signals or “brain waves” to communicate between humans and computers – an area that can be extended for use in this domain.

Author : Simone Bassis,Anna Esposito,Francesco Carlo Morabito,Eros Pasero
Publisher : Springer
Page : 539 pages
File Size : 44,6 Mb
Release : 2016-06-18
Category : Technology & Engineering
ISBN : 9783319337470

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Advances in Neural Networks by Simone Bassis,Anna Esposito,Francesco Carlo Morabito,Eros Pasero Pdf

This carefully edited book is putting emphasis on computational and artificial intelligent methods for learning and their relative applications in robotics, embedded systems, and ICT interfaces for psychological and neurological diseases. The book is a follow-up of the scientific workshop on Neural Networks (WIRN 2015) held in Vietri sul Mare, Italy, from the 20th to the 22nd of May 2015. The workshop, at its 27th edition became a traditional scientific event that brought together scientists from many countries, and several scientific disciplines. Each chapter is an extended version of the original contribution presented at the workshop, and together with the reviewers’ peer revisions it also benefits from the live discussion during the presentation. The content of book is organized in the following sections. 1. Introduction, 2. Machine Learning, 3. Artificial Neural Networks: Algorithms and models, 4. Intelligent Cyberphysical and Embedded System, 5. Computational Intelligence Methods for Biomedical ICT in Neurological Diseases, 6. Neural Networks-Based Approaches to Industrial Processes, 7. Reconfigurable Modular Adaptive Smart Robotic Systems for Optoelectronics Industry: The White'R Instantiation This book is unique in proposing a holistic and multidisciplinary approach to implement autonomous, and complex Human Computer Interfaces.

Author : Anitha S. Pillai,Bindu Menon
Publisher : Academic Press
Page : 356 pages
File Size : 50,6 Mb
Release : 2022-02-23
Category : Science
ISBN : 9780323886260

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Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence by Anitha S. Pillai,Bindu Menon Pdf

Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence focuses on how the neurosciences can benefit from advances in AI, especially in areas such as medical image analysis for the improved diagnosis of Alzheimer’s disease, early detection of acute neurologic events, prediction of stroke, medical image segmentation for quantitative evaluation of neuroanatomy and vasculature, diagnosis of Alzheimer’s Disease, autism spectrum disorder, and other key neurological disorders. Chapters also focus on how AI can help in predicting stroke recovery, and the use of Machine Learning and AI in personalizing stroke rehabilitation therapy. Other sections delve into Epilepsy and the use of Machine Learning techniques to detect epileptogenic lesions on MRIs and how to understand neural networks. Provides readers with an understanding on the key applications of artificial intelligence and machine learning in the diagnosis and treatment of the most important neurological disorders Integrates recent advancements of artificial intelligence and machine learning to the evaluation of large amounts of clinical data for the early detection of disorders such as Alzheimer’s Disease, autism spectrum disorder, Multiple Sclerosis, headache disorder, Epilepsy, and stroke Provides readers with illustrative examples of how artificial intelligence can be applied to outcome prediction, neurorehabilitation and clinical exams, including a wide range of case studies in predicting and classifying neurological disorders

Author : Rajshree Srivastava,Nhu Gia Nguyen,Ashish Khanna,Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
Page : 180 pages
File Size : 54,8 Mb
Release : 2020-10-12
Category : Computers
ISBN : 9783110676129

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Predictive Intelligence in Biomedical and Health Informatics by Rajshree Srivastava,Nhu Gia Nguyen,Ashish Khanna,Siddhartha Bhattacharyya Pdf

Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.

Author : Manfred Schmitt,Horia-Nicolai Teodorescu,Ashlesha Jain,Ajita Jain,Sandhya Jain
Publisher : Physica
Page : 513 pages
File Size : 48,8 Mb
Release : 2013-11-11
Category : Medical
ISBN : 9783790817881

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Computational Intelligence Processing in Medical Diagnosis by Manfred Schmitt,Horia-Nicolai Teodorescu,Ashlesha Jain,Ajita Jain,Sandhya Jain Pdf

Computational intelligence techniques are gaining momentum in the medical prognosis and diagnosis. This volume presents advanced applications of machine intelligence in medicine and bio-medical engineering. Applied methods include knowledge bases, expert systems, neural networks, neuro-fuzzy systems, evolvable systems, wavelet transforms, and specific internet applications. The volume is written in view of explaining to the practitioner the fundamental issues related to computational intelligence paradigms and to offer a fast and friendly-managed introduction to the most recent methods based on computer intelligence in medicine.

Author : Isabelle Bichindaritz,Sachin Vaidya,Ashlesha Jain
Publisher : Springer
Page : 464 pages
File Size : 49,6 Mb
Release : 2010-10-05
Category : Technology & Engineering
ISBN : 9783642144646

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Computational Intelligence in Healthcare 4 by Isabelle Bichindaritz,Sachin Vaidya,Ashlesha Jain Pdf

Computational Intelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. Computational intelligence already has a solid track-record of applications to healthcare, of which this book is a continuation. We would like to refer the reader to the excellent previous volumes in this series on computational intelligence in heal- care [1-3]. This book is aimed at providing the most recent advances and state of the art in the practical applications of computational intelligence paradigms in healthcare. It - cludes nineteen chapters on using various computational intelligence methods in healthcare such as intelligent agents and case-based reasoning. A number of fielded applications and case studies are presented. Highlighted are in particular novel c- putational approaches to the semantic management of health information such as in the Web 2.0, mobile agents such as in portable devices, learning agents capable of adapting to diverse clinical settings through case-based reasoning, and statistical - proaches in computational intelligence. This book is targeted towards scientists, application engineers, professors, health professionals, professors, and students. Background information on computational intelligence has been provided whenever necessary to facilitate the comprehension of a broad audience including healthcare practitioners.

Author : Utku Kose,Jafar Alzubi
Publisher : Springer Nature
Page : 311 pages
File Size : 41,7 Mb
Release : 2020-09-12
Category : Technology & Engineering
ISBN : 9789811563218

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Deep Learning for Cancer Diagnosis by Utku Kose,Jafar Alzubi Pdf

This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.