Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data

Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data

4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

von

Reyes, MauricioHrsg.Henriques Abreu, PedroHrsg.Cardoso, JaimeHrsg.Thakur, LokendraHrsg.Zamzmi, GhadaHrsg.Rahul, PaulHrsg.Hajij, MustafaHrsg.

BuchKartoniert, Paperback

Verkaufsrang53423inInformatik - EDV

EUR62,95

Beschreibung

This book constitutes the refereed joint proceedings of the 4th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, and the First International Workshop on Topological Data Analysis and Its Applications for Medical Data, TDA4MedicalData 2021, held on September 27, 2021, in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021.
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.

Weitere Beschreibungen

Details

ISBN/EAN978-3-030-87443-8

ProduktartBuch

EinbandKartoniert, Paperback

Verlag

Springer International Publishing

Erscheinungsdatum21.09.2021

Auflage1st ed. 2021

ReiheImage Processing, Computer Vision, Pattern Recognition, and Graphics

Reihen-Nr.12929

Seiten129 Seiten

SpracheEnglisch

Artikel-Nr.17210115

WarengruppeInformatik - EDV

Weitere Details

Reihe

Deep Learning and Data Labeling for Medical Applications

Advanced Concepts for Intelligent Vision Systems

Machine Learning in Medical Imaging

Structural, Syntactic, and Statistical Pattern Recognition

Advances in Visual Computing

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

Computer Vision ¿ ACCV 2016

Computer Vision ¿ ACCV 2016 Workshops

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Reconstruction, Segmentation, and Analysis of Medical Images

Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Pattern Recognition Applications and Methods

Video Analytics. Face and Facial Expression Recognition and Audience Measurement

Computational Methods and Clinical Applications for Spine Imaging

Computational Color Imaging

Reproducible Research in Pattern Recognition

Mathematical Morphology and Its Applications to Signal and Image Processing

Pattern Recognition and Image Analysis

Combinatorial Image Analysis

Functional Imaging and Modelling of the Heart

Information Processing in Medical Imaging

Pattern Recognition

Image Analysis

Scale Space and Variational Methods in Computer Vision

Graph-Based Representations in Pattern Recognition

Image Analysis and Recognition

Augmented Reality, Virtual Reality, and Computer Graphics

Computer Analysis of Images and Patterns

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