Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis
Author :
Publisher : Springer Nature
Total Pages : 233
Release :
ISBN-10 : 9783030603656
ISBN-13 : 3030603652
Rating : 4/5 (652 Downloads)

Book Synopsis Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis by : Carole H. Sudre

Download or read book Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis written by Carole H. Sudre and published by Springer Nature. This book was released on 2020-10-05 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. For UNSURE 2020, 10 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.


Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis Related Books

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis
Language: en
Pages: 233
Authors: Carole H. Sudre
Categories: Computers
Type: BOOK - Published: 2020-10-05 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging,
Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis
Language: en
Pages: 138
Authors: Luigi Manfredi
Categories: Computers
Type: BOOK - Published: 2022-12-09 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the first MICCAI Workshop, ISGIE 2022, Imaging Systems for GI Endoscopy, and the Fourth MICCAI Workshop, GRAIL
Biomedical Image Registration
Language: en
Pages: 378
Authors: Marc Modat
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Trustworthy AI in Medical Imaging
Language: en
Pages: 538
Authors: Marco Lorenzi
Categories: Computers
Type: BOOK - Published: 2024-11-25 - Publisher: Elsevier

DOWNLOAD EBOOK

Trustworthy AI in Medical Imaging brings together scientific researchers, medical experts, and industry partners working in the field of trustworthiness, bridgi
Artificial Intelligence Applications In Human Pathology
Language: en
Pages: 337
Authors: Ralf Huss
Categories: Science
Type: BOOK - Published: 2022-03-04 - Publisher: World Scientific

DOWNLOAD EBOOK

Artificial Intelligence Applications in Human Pathology deals with the latest topics in biomedical research and clinical cancer diagnostics. With chapters provi