Head And Neck Tumor Segmentation And Outcome Prediction

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Head and Neck Tumor Segmentation and Outcome Prediction

Author : Vincent Andrearczyk,Valentin Oreiller,Mathieu Hatt,Adrien Depeursinge
Publisher : Springer Nature
Page : 339 pages
File Size : 52,6 Mb
Release : 2022-03-12
Category : Computers
ISBN : 9783030982539

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Head and Neck Tumor Segmentation and Outcome Prediction by Vincent Andrearczyk,Valentin Oreiller,Mathieu Hatt,Adrien Depeursinge Pdf

This book constitutes the Second 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2021, which was held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021. The challenge took place virtually on September 27, 2021, due to the COVID-19 pandemic. The 29 contributions presented, as well as an overview paper, were carefully reviewed and selected form numerous submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 325 delineated PET/CT images was made available for training.

Head and Neck Tumor Segmentation and Outcome Prediction

Author : Vincent Andrearczyk,Valentin Oreiller,Mathieu Hatt,Adrien Depeursinge
Publisher : Springer Nature
Page : 269 pages
File Size : 44,6 Mb
Release : 2023-03-17
Category : Computers
ISBN : 9783031274206

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Head and Neck Tumor Segmentation and Outcome Prediction by Vincent Andrearczyk,Valentin Oreiller,Mathieu Hatt,Adrien Depeursinge Pdf

This book constitutes the Third 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2022, which was held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, on September 22, 2022. The 22 contributions presented, as well as an overview paper, were carefully reviewed and selected from 24 submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 883 delineated PET/CT images was made available for training.

Head and Neck Tumor Segmentation

Author : Vincent Andrearczyk,Valentin Oreiller,Adrien Depeursinge
Publisher : Springer Nature
Page : 119 pages
File Size : 51,7 Mb
Release : 2021-01-12
Category : Computers
ISBN : 9783030671945

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Head and Neck Tumor Segmentation by Vincent Andrearczyk,Valentin Oreiller,Adrien Depeursinge Pdf

This book constitutes the First 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 pandemic. The 2 full and 8 short papers presented together with an overview paper in this volume were carefully reviewed and selected form numerous submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 204 delineated PET/CT images was made available for training as well as 53 PET/CT images for testing. Various deep learning methods were developed by the participants with excellent results.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

Author : Hayit Greenspan,Anant Madabhushi,Parvin Mousavi,Septimiu Salcudean,James Duncan,Tanveer Syeda-Mahmood,Russell Taylor
Publisher : Springer Nature
Page : 850 pages
File Size : 40,6 Mb
Release : 2023-09-30
Category : Computers
ISBN : 9783031439872

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 by Hayit Greenspan,Anant Madabhushi,Parvin Mousavi,Septimiu Salcudean,James Duncan,Tanveer Syeda-Mahmood,Russell Taylor Pdf

The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.

Methods in Cancer Imaging and Image-directed Interventions

Author : Bahram Mohajer,Jasper Nijkamp
Publisher : Frontiers Media SA
Page : 215 pages
File Size : 44,9 Mb
Release : 2023-11-08
Category : Medical
ISBN : 9782832538357

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Methods in Cancer Imaging and Image-directed Interventions by Bahram Mohajer,Jasper Nijkamp Pdf

Frontiers in Oncology is delighted to present the Methods in series of article collections. Methods in Cancer Imaging and Image-directed Interventions will publish high-quality methodical studies on key topics in the field. It aims to highlight recent advances in the field, whilst emphasizing important directions and new possibilities for future inquiries. The Methods in Cancer Imaging and Image-directed Interventions collection aims to highlight the latest experimental techniques and methods used to investigate fundamental questions in Cancer Imaging and Image-directed Interventions. Review Articles or Opinion Articles on methodologies or applications including the advantages and limitations of each are welcome. This Research Topic includes technologies and up-to-date methods which help aim to help advance science.

Artificial Intelligence and PET Imaging, Part 2, An Issue of PET Clinics , E-Book

Author : Arman Rahmim,Babak Saboury,Eliot Siegel
Publisher : Elsevier Health Sciences
Page : 241 pages
File Size : 50,8 Mb
Release : 2021-11-27
Category : Medical
ISBN : 9780323850148

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Artificial Intelligence and PET Imaging, Part 2, An Issue of PET Clinics , E-Book by Arman Rahmim,Babak Saboury,Eliot Siegel Pdf

In this issue of PET Clinics, guest editors Arman Rahmim, Babak Saboury, and Eliot Siegel bring their considerable expertise to the topic of Artificial Intelligence and PET Imaging. Provides in-depth, clinical reviews on the latest updates in AI and PET Imaging, providing actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field; Authors synthesize and distill the latest research and practice guidelines to create these timely topic-based reviews.

Computer-Aided Oral and Maxillofacial Surgery

Author : Jan Egger,Xiaojun Chen
Publisher : Academic Press
Page : 284 pages
File Size : 42,6 Mb
Release : 2021-04-29
Category : Computers
ISBN : 9780128234235

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Computer-Aided Oral and Maxillofacial Surgery by Jan Egger,Xiaojun Chen Pdf

Computer-Aided Oral and Maxillofacial Surgery: Developments, Applications, and Future Perspectives is an ideal resource for biomedical engineers and computer scientists, clinicians and clinical researchers looking for an understanding on the latest technologies applied to oral and maxillofacial surgery. In facial surgery, computer-aided decisions supplement all kind of treatment stages, from a diagnosis to follow-up examinations. This book gives an in-depth overview of state-of-the-art technologies, such as deep learning, augmented reality, virtual reality and intraoperative navigation, as applied to oral and maxillofacial surgery. It covers applications of facial surgery that are at the interface between medicine and computer science. Examples include the automatic segmentation and registration of anatomical and pathological structures, like tumors in the facial area, intraoperative navigation in facial surgery and its recent developments and challenges for treatments like zygomatic implant placement. Provides comprehensive, state-of-the-art knowledge of interdisciplinary applications in facial surgery Presents recent algorithmic developments like Deep Learning, along with recent devices in augmented reality and virtual reality Includes clinical knowledge of two facials surgeons who give insights into the current clinical practice and challenges of facial surgeons in university hospitals in Austria and China

Machine Learning in Radiation Oncology

Author : Issam El Naqa,Ruijiang Li,Martin J. Murphy
Publisher : Springer
Page : 336 pages
File Size : 40,9 Mb
Release : 2015-06-19
Category : Medical
ISBN : 9783319183053

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Machine Learning in Radiation Oncology by Issam El Naqa,Ruijiang Li,Martin J. Murphy Pdf

​This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.

Data Management, Analytics and Innovation

Author : Neha Sharma,Amlan Chakrabarti,Valentina Emilia Balas,Alfred M. Bruckstein
Publisher : Springer Nature
Page : 460 pages
File Size : 43,9 Mb
Release : 2021-08-04
Category : Technology & Engineering
ISBN : 9789811629341

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Data Management, Analytics and Innovation by Neha Sharma,Amlan Chakrabarti,Valentina Emilia Balas,Alfred M. Bruckstein Pdf

This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

Adaptive Radiation Therapy

Author : X. Allen Li
Publisher : CRC Press
Page : 426 pages
File Size : 47,6 Mb
Release : 2011-01-27
Category : Medical
ISBN : 1439816352

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Adaptive Radiation Therapy by X. Allen Li Pdf

Modern medical imaging and radiation therapy technologies are so complex and computer driven that it is difficult for physicians and technologists to know exactly what is happening at the point-of-care. Medical physicists responsible for filling this gap in knowledge must stay abreast of the latest advances at the intersection of medical imaging and radiation therapy. This book provides medical physicists and radiation oncologists current and relevant information on Adaptive Radiation Therapy (ART), a state-of-the-art approach that uses a feedback process to account for patient-specific anatomic and/or biological changes, thus delivering highly individualized radiation therapy for cancer patients. The book should also benefit medical dosimetrists and radiation therapists. Adaptive Radiation Therapy describes technological and methodological advances in the field of ART, as well as initial clinical experiences using ART for selected anatomic sites. Divided into three sections (radiobiological basis, current technologies, and clinical applications), the book covers: Morphological and biological biomarkers for patient-specific planning Design and optimization of treatment plans Delivery of IMRT and IGRT intervention methodologies of ART Management of intrafraction variations, particularly with respiratory motion Quality assurance needed to ensure the safe delivery of ART ART applications in several common cancer types / anatomic sites The technology and methodology for ART have advanced significantly in the last few years and accumulated clinical data have demonstrated the need for ART in clinical settings, assisted by the wide application of intensity modulated radiation therapy (IMRT) and image-guided radiation therapy (IGRT). This book shows the real potential for supplying every patient with individualized radiation therapy that is maximally accurate and precise.

Dual Energy CT: Applications in Head and Neck and Neurologic Imaging, An Issue of Neuroimaging Clinics of North America, E-Book

Author : Reza Forghani,Hillary R. Kelly
Publisher : Elsevier Health Sciences
Page : 128 pages
File Size : 45,9 Mb
Release : 2017-08-01
Category : Medical
ISBN : 9780323532440

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Dual Energy CT: Applications in Head and Neck and Neurologic Imaging, An Issue of Neuroimaging Clinics of North America, E-Book by Reza Forghani,Hillary R. Kelly Pdf

This issue of Neuroimaging Clinics of North America focuses on Dual Energy CT: Applications in Neurologic, Head and Neck Imaging, and is edited by Drs. Reza Forghani and Hillary R. Kelly. Articles will include: Dual Energy CT: Physical Principles and Approaches to Scanning, Part 1; Dual Energy CT: Physical Principles and Approaches to Scanning, Part 2; Dual Energy CT Applications for Differentiation of Intracranial Hemorrhage, Calcium, and Iodine; Dual Energy CT Angiography of the Head and Neck and Related Applications; Miscellaneous and Emerging Applications of Dual Energy CT for the Evaluation of Intracranial Pathology; Applications of Dual Energy CT for the Evaluation of Head and Neck Squamous Cell Carcinoma; Dual Energy CT Applications for the Evaluation of Cervical Lymphadenopathy; Miscellaneous and Emerging Applications of Dual Energy CT for the Evaluation of Pathologies in the Head and Neck; Dual Energy CT Applications for the Evaluation of the Spine; Applications of Dual Energy CT for Artifact Reduction in the Head, Neck, and Spine; Advanced Tissue Characterization and Texture Analysis using Dual Energy CT: Horizons and Emerging Applications; and more!

Prognosis in Head and Neck Cancer

Author : Robert J. Baatenburg de Jong
Publisher : CRC Press
Page : 410 pages
File Size : 46,8 Mb
Release : 2005-12-15
Category : Medical
ISBN : 1841844837

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Prognosis in Head and Neck Cancer by Robert J. Baatenburg de Jong Pdf

Research on the factors that determine the course and prognosis of head and neck cancers has now reached the stage where a synoptic review is in order, to draw together those aspects that are of most importance for patient management. Oncologists and Otolaryngology / Head and Neck Surgeons alike will benefit greatly from this distillation of the clinically relevant aspects of the subject.

Radiomics and Radiogenomics

Author : Ruijiang Li,Lei Xing,Sandy Napel,Daniel L. Rubin
Publisher : CRC Press
Page : 420 pages
File Size : 52,9 Mb
Release : 2019-07-09
Category : Science
ISBN : 9781351208260

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Radiomics and Radiogenomics by Ruijiang Li,Lei Xing,Sandy Napel,Daniel L. Rubin Pdf

Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains the fundamental principles, technical bases, and clinical applications with a focus on oncology. The book’s expert authors present computational approaches for extracting imaging features that help to detect and characterize disease tissues for improving diagnosis, prognosis, and evaluation of therapy response. This book is intended for audiences including imaging scientists, medical physicists, as well as medical professionals and specialists such as diagnostic radiologists, radiation oncologists, and medical oncologists. Features Provides a first complete overview of the technical underpinnings and clinical applications of radiomics and radiogenomics Shows how they are improving diagnostic and prognostic decisions with greater efficacy Discusses the image informatics, quantitative imaging, feature extraction, predictive modeling, software tools, and other key areas Covers applications in oncology and beyond, covering all major disease sites in separate chapters Includes an introduction to basic principles and discussion of emerging research directions with a roadmap to clinical translation

Brain Tumor Imaging

Author : Elke Hattingen,Ulrich Pilatus
Publisher : Springer
Page : 161 pages
File Size : 41,9 Mb
Release : 2015-09-02
Category : Medical
ISBN : 9783642450402

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Brain Tumor Imaging by Elke Hattingen,Ulrich Pilatus Pdf

This book describes the basics, the challenges and the limitations of state of the art brain tumor imaging and examines in detail its impact on diagnosis and treatment monitoring. It opens with an introduction to the clinically relevant physical principles of brain imaging. Since MR methodology plays a crucial role in brain imaging, the fundamental aspects of MR spectroscopy, MR perfusion and diffusion-weighted MR methods are described, focusing on the specific demands of brain tumor imaging. The potential and the limits of new imaging methodology are carefully addressed and compared to conventional MR imaging. In the main part of the book, the most important imaging criteria for the differential diagnosis of solid and necrotic brain tumors are delineated and illustrated in examples. A closing section is devoted to the use of MR methods for the monitoring of brain tumor therapy. The book is intended for radiologists, neurologists, neurosurgeons, oncologists and other scientists in the biomedical field with an interest in neuro-oncology.

The use of deep learning in mapping and diagnosis of cancers

Author : Fu Wang,Abhishek Mahajan,Haibin Shi
Publisher : Frontiers Media SA
Page : 228 pages
File Size : 48,5 Mb
Release : 2023-01-18
Category : Medical
ISBN : 9782832511695

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The use of deep learning in mapping and diagnosis of cancers by Fu Wang,Abhishek Mahajan,Haibin Shi Pdf