Brain Tumor Segmentation Grading And Patient Survival Prediction

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Brain Tumor Segmentation Grading And Patient Survival Prediction

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Author : Metin Gurcan
language : en
Publisher: Frontiers Media SA
Release Date : 2023-01-30

Brain Tumor Segmentation Grading And Patient Survival Prediction written by Metin Gurcan and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-30 with Medical categories.

Multimodal Brain Tumor Segmentation And Beyond

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Author : Bjoern Menze
language : en
Publisher: Frontiers Media SA
Release Date : 2021-08-10

Multimodal Brain Tumor Segmentation And Beyond written by Bjoern Menze and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-10 with Science categories.

Brainlesion Glioma Multiple Sclerosis Stroke And Traumatic Brain Injuries

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Author : Alessandro Crimi
language : en
Publisher: Springer Nature
Release Date : 2021-03-26

Brainlesion Glioma Multiple Sclerosis Stroke And Traumatic Brain Injuries written by Alessandro Crimi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-26 with Computers categories.

This two-volume set LNCS 12658 and 12659 constitutes the thoroughly refereed proceedings of the 6th International MICCAI Brainlesion Workshop, BrainLes 2020, the International Multimodal Brain Tumor Segmentation (BraTS) challenge, and the Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification (CPM-RadPath) challenge. These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in Lima, Peru, in October 2020.* The revised selected papers presented in these volumes were organized in the following topical sections: brain lesion image analysis (16 selected papers from 21 submissions); brain tumor image segmentation (69 selected papers from 75 submissions); and computational precision medicine: radiology-pathology challenge on brain tumor classification (6 selected papers from 6 submissions). *The workshop and challenges were held virtually.

Precision Molecular Pathology Of Glioblastoma

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Author : José Javier Otero
language : en
Publisher: Springer Nature
Release Date : 2021-04-30

Precision Molecular Pathology Of Glioblastoma written by José Javier Otero and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-30 with Medical categories.

This volume provides a balanced and realistic review of the current state of glioblastoma, ranging from traditional histological review, molecular pathology of glioma, modern radiomics, neurosurgical focus, and integration of treatment plans by neuro-oncologists. The book reviews basic principles such as epidemiology and etiology, and modern 2016 WHO classification of CNS tumors. Chapters cover a general overview of common molecular techniques used in molecular pathology, molecular pathology in a developing country, key drivers of patient outcomes and predictors of response to radiation and/or chemotherapy treatment, and immunohistochemical surrogates for key molecular pathology. It concludes with reviews on radiomics, animal and stem cell models of glioblastoma, and a chapter on the emerging field of Glioblastoma Neuroscience. Precision Molecular Pathology of Glioblastoma is intended for pathology residents and fellows interested in glioblastoma, general surgical pathologists who need reviews on how to implement modern glioblastoma classification, as well as neuro-radiologists, oncologists, and radiation oncologists needing a holistic perspective to glioblastoma diagnosis and management.

Artificial Intelligence In Medicine

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Author : Joseph Finkelstein
language : en
Publisher: Springer Nature
Release Date : 2024-07-26

Artificial Intelligence In Medicine written by Joseph Finkelstein and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Computers categories.

This two-volume set LNAI 14844-14845 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Medicine, AIME 2024, held in Salt Lake City, UT, USA, during July 9-12, 2024. The 54 full papers and 22 short papers presented in the book were carefully reviewed and selected from 335 submissions. The papers are grouped in the following topical sections: Part I: Predictive modelling and disease risk prediction; natural language processing; bioinformatics and omics; and wearable devices, sensors, and robotics. Part II: Medical imaging analysis; data integration and multimodal analysis; and explainable AI.

Application Of Emerging Technologies In The Diagnosis And Treatment Of Patients With Brain Tumors New Frontiers In Imaging For Neuro Oncology

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Author : Domenico Aquino
language : en
Publisher: Frontiers Media SA
Release Date : 2025-06-18

Application Of Emerging Technologies In The Diagnosis And Treatment Of Patients With Brain Tumors New Frontiers In Imaging For Neuro Oncology written by Domenico Aquino and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Medical categories.

Continued advancements in medical imaging systems have significantly enhanced our ability to timely and accurately visualize body tissues and disease-related processes. Such advancements are gradually responding to a pressing need for personalized medicine, representing an always more pervasive urgency in every medical field; this is all the more true with regard to neuro-oncology, and physicians have now to deal with it. This shift toward precision medicine, defined as the right treatment for the right patient at the right time, has called for innovative approaches to provide aggregation of different techniques, different disciplines, and different professionals, in order to ensure to patients with brain tumors the highest efficacy in both diagnostic and therapeutic capabilities. In this interdisciplinary or cross-disciplinary vision of neuro-oncology, brain imaging represents a compelling source of crucial information used by clinicians and surgeons, and the flourishing of scientific literature based on image post-processing analysis, artificial intelligence, radiomics, and other fast-growing automations in data analysis has been revolutionizing the way of both understanding and applying neuroimaging for treatments. This Research Topic aims to deepen the readers' understanding of novel medical imaging techniques and image-guided procedures for brain tumors’ diagnosis and treatment, or rather integrating these advancements into clinical practice. In this light, it will provide new insights on the latest strides in medical imaging for brain tumors’ diagnosis and therapeutic management. This Research Topic will also focus on the importance of the combination of different techniques from various clinical domains, to fulfill their potential in a pluralist approach that might lead to a more personalized therapy in patients with brain neoplasms; in that regard, of special interest will be the fast-evolving field of artificial intelligence in neuro-oncology and neuro-oncological imaging.

Progress In Pattern Recognition Image Analysis Computer Vision And Applications

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Author : Ingela Nyström
language : en
Publisher: Springer Nature
Release Date : 2019-10-25

Progress In Pattern Recognition Image Analysis Computer Vision And Applications written by Ingela Nyström and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-25 with Computers categories.

This book constitutes the refereed conference proceedings of the 24rd Iberoamerican Congress on Pattern Recognition, CIARP 2019, held in Havana, Cuba, in October 2019. The 70 papers presented were carefully reviewed and selected from 128 submissions. The papers are organized in topical sections named: Data Mining: Natural Language Processing and Text Mining; Image Analysis and Retrieval; Machine Learning and Neural Networks; Mathematical Theory of Pattern Recognition; Pattern Recognition and Applications; Signals Analysis and Processing; Speech Recognition; Video Analysis.

Medical Image Computing And Computer Assisted Intervention Miccai 2023

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Author : Hayit Greenspan
language : en
Publisher: Springer Nature
Release Date : 2023-09-30

Medical Image Computing And Computer Assisted Intervention Miccai 2023 written by Hayit Greenspan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-30 with Computers categories.

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; clinicalapplications – 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.

Agents And Artificial Intelligence

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Author : Ana Paula Rocha
language : en
Publisher: Springer Nature
Release Date : 2024-03-14

Agents And Artificial Intelligence written by Ana Paula Rocha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-14 with Computers categories.

This book contains the revised and extended versions of selected papers from the 15th International Conference on Agents and Artificial Intelligence, ICAART 2023, held in Lisbon, Portugal, during February 22–24, 2023. The 23 full papers included in this book were carefully reviewed and selected from 306 submissions. The conference was organized in 2 tracks as follows: One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.

Explainable Ai In Healthcare

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Author : Mehul S Raval
language : en
Publisher: CRC Press
Release Date : 2023-07-17

Explainable Ai In Healthcare written by Mehul S Raval and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-17 with Medical categories.

This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering. This book will benefit readers in the following ways: Explores state of art in computer vision and deep learning in tandem to develop autonomous or semi-autonomous algorithms for diagnosis in health care Investigates bridges between computer scientists and physicians being built with XAI Focuses on how data analysis provides the rationale to deal with the challenges of healthcare and making decision-making more transparent Initiates discussions on human-AI relationships in health care Unites learning for privacy preservation in health care