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E-book
Author iMIMIC (Workshop) (2nd : 2019 : Shenzhen Shi, China)

Title Interpretability of machine intelligence in medical image computing and multimodal learning for clinical decision support : second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-Mahmood et al. (Eds.)
Published Cham, Switzerland : Springer, 2019

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Description 1 online resource (xvi, 93 pages) : illustrations (some color)
Series Lecture notes in computer science ; 11797
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
Lecture notes in computer science ; 11797.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
Contents Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2019) -- Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification -- UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics -- Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis -- Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection -- Guideline-based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules -- Deep neural network or dermatologist? -- Towards Interpretability of Segmentation Networks by analyzing DeepDreams -- 9th International Workshop on Multimodal Learning for Clinical Decision Support (ML-CDS 2019) -- Towards Automatic Diagnosis from Multi-modal Medical Data -- Deep Learning based Multi-Modal Registration for Retinal Imaging -- Automated Enriched Medical Concept Generation for Chest X-ray Images
Summary This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 7 full papers presented at iMIMIC 2019 and the 3 full papers presented at ML-CDS 2019 were carefully reviewed and selected from 10 submissions to iMIMIC and numerous submissions to ML-CDS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning
Notes International conference proceedings
Includes author index
Online resource; title from PDF title page (SpringerLink, viewed October 30, 2019)
Subject Diagnostic imaging -- Data processing -- Congresses
Computer-assisted surgery -- Congresses
Computer-assisted surgery
Diagnostic imaging -- Data processing
Genre/Form Electronic books
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Suzuki, Kenji, editor
Reyes, Mauricio, editor
Syeda-Mahmood, Tanveer, editor.
ML-CDS (Workshop) (9th : 2019 : Shenzhen Shi, China), jointly held conference.
International Conference on Medical Image Computing and Computer-Assisted Intervention (22nd : 2019 : Shenzhen Shi, China), jointly held conference.
ISBN 9783030338503
3030338509