Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12929)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
- iMIMIC: International Workshop on Interpretability of Machine Intelligence in Medical Image Computing
- TDA4MedicalData: Workshop on Topological Data Analysis and Its Applications for Medical Data
Conference proceedings info: IMIMIC 2021, TDA4MedicalData 2021.
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Table of contents (12 papers)
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Front Matter
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iMIMIC 2021 Workshop
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Front Matter
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TDA4MedicalData Workshop
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Front Matter
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Back Matter
Other volumes
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Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data
Keywords
- analysis of biomedical data
- classification methods
- computer networks
- computer science
- computer systems
- computer vision
- correlation analysis
- deep learning
- deep learning models for medical applications
- evolutionary algorithms
- genetic algorithms
- image analysis
- image processing
- learning
- machine learning
- medical signal processing
- network protocols
- neural networks
- topological-based approaches
About this book
The 7 full papers presented at iMIMIC 2021 and 5 full papers held at TDA4MedicalData 2021 were carefully reviewed and selected from 12 submissions each. 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. TDA4MedicalData is focusing on using TDA techniques to enhance the performance, generalizability, efficiency, and explainability of the current methods applied to medical data.
Editors and Affiliations
Bibliographic Information
Book Title: Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data
Book Subtitle: 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Editors: Mauricio Reyes, Pedro Henriques Abreu, Jaime Cardoso, Mustafa Hajij, Ghada Zamzmi, Paul Rahul, Lokendra Thakur
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-87444-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-87443-8Published: 21 September 2021
eBook ISBN: 978-3-030-87444-5Published: 21 September 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 129
Number of Illustrations: 3 b/w illustrations
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Theory of Computation, Computational Biology/Bioinformatics, Machine Learning, Information Systems Applications (incl. Internet)
