Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

AvCarole H. Sudre,Christian F. Baumgartner

Häftad, Engelska, 2022

Del 13563 i serien Lecture Notes in Computer Science

621 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

This book constitutes the refereed proceedings of the Fourth Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2022, held in conjunction with MICCAI 2022. The conference was hybrid event held from Singapore. For this workshop, 13 papers from 22 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.

Produktinformation

Utgivningsdatum:2022-09-18
Mått:155 x 235 x 9 mm
Vikt:254 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:147
Förlag:Springer International Publishing AG
ISBN:9783031167485

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Informationsteknik: allmänt inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Uncertainty Modelling.- MOrphologically-aware Jaccard-based ITerative Optimization (MOJITO) for Consensus Segmentation.- Quantification of Predictive Uncertainty via Inference-Time Sampling.- Uncertainty categories in medical image segmentation: a study of source-related diversity..- On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation.- What Do Untargeted Adversarial Examples Reveal In Medical Image Segmentation?..- Uncertainty calibration.- Improved post-hoc probability calibration for out-of-domain MRI segmentation..- Improving error detection in deep learning-based radiotherapy autocontouring using Bayesian uncertainty.- A Plug-and-Play Method to Compute Uncertainty.- Calibration of Deep Medical Image Classifiers: An Empirical Comparison using Dermatology and Histopathology Datasets.- Annotation uncertainty and out of distribution management.- nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods.- Generalized Probabilistic U-Net for medical image segmentation.- Joint paraspinal muscle segmentation and inter-rater labeling variability prediction with multi-task TransUNet.- Information Gain Sampling for Active Learning in Medical Image Classification.

Du kanske också är intresserad av

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures

Miguel Angel Gonzalez Ballester, Stefan Wesarg, Raj Shekhar, Cristina Oyarzun Laura, Marius George Linguraru, Klaus Drechsler, William M. Wells, Carole H. Sudre, Adrian Dalca, Christian Baumgartner, Tal Arbel, Marius Erdt, Ryutaro Tanno, Hayit Greenspan

E-bok

2019

687 kr

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

William M. Wells III, Koen Van Leemput, Ryutaro Tanno, Chen Qin, Adrian Dalca, Christian F. Baumgartner, Carole H. Sudre

E-bok

2022

786 kr

Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, Häftad

Del 14291

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Raghav Mehta, Chen Qin, William M. Wells

Häftad, 2023

729 kr

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

William M. Wells, Chen Qin, Raghav Mehta, Adrian Dalca, Christian F. Baumgartner, Carole H. Sudre

E-bok

2023

896 kr

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis

Christopher Macgowan, William M. Wells, Jordina Torrents Barrena, Koen Van Leemput, Esra Abaci Turk, Ryutaro Tanno, Jana Hutter, Adrian Dalca, Andrew Melbourne, Christian Baumgartner, Roxane Licandro, Carole H. Sudre

E-bok

2021

840 kr

Carole H. Sudre, Roxane Licandro, Christian Baumgartner, Andrew Melbourne, Adrian Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents Barrena, William M. Wells, Christopher Macgowan - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, Häftad

Del 12959

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis

Carole H. Sudre, Roxane Licandro, Christian Baumgartner, Andrew Melbourne, Adrian Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents Barrena, William M. Wells, Christopher Macgowan

Häftad, 2021

733 kr

Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells, Aristeidis Sotiras, Bartlomiej Papiez, Enzo Ferrante, Sarah Parisot - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, Häftad

Del 12443

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

Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells, Aristeidis Sotiras, Bartlomiej Papiez, Enzo Ferrante, Sarah Parisot

Häftad, 2020

549 kr

Hayit Greenspan, Ryutaro Tanno, Marius Erdt, Tal Arbel, Christian Baumgartner, Adrian Dalca, Carole H. Sudre, William M. Wells, Klaus Drechsler, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, Häftad

Del 11840

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures

Hayit Greenspan, Ryutaro Tanno, Marius Erdt, Tal Arbel, Christian Baumgartner, Adrian Dalca, Carole H. Sudre, William M. Wells, Klaus Drechsler, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester

Häftad, 2019

549 kr

Carole H. Sudre, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells - Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, Häftad

Del 15167

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Carole H. Sudre, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells

Häftad, 2024

733 kr

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

Sarah Parisot, Enzo Ferrante, Bartlomiej Papiez, Aristeidis Sotiras, William M. Wells, Koen Van Leemput, Ryutaro Tanno, Adrian Dalca, Christian F. Baumgartner, Tal Arbel, Hamid Fehri, Carole H. Sudre

E-bok

2020

712 kr

Företag, bibliotek eller offentlig verksamhet?

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Beskrivning

Produktinformation

Utforska kategorier

Innehållsförteckning

Du kanske också är intresserad av

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis

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 Clinical Image-Based Procedures

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

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

Mina sidor

Mina sidor

Hjälp

Hjälp

Om Bokus

Om Bokus

Populärt

Populärt

Inspiration

Inspiration