Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 1st ed. 2021 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings Image Processing, Computer Vision, Pattern Recognition, and Graphics Series
Coordonnateurs : Reyes Mauricio, Henriques Abreu Pedro, Cardoso Jaime, Hajij Mustafa, Zamzmi Ghada, Rahul Paul, Thakur Lokendra
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.
Date de parution : 09-2021
Ouvrage de 129 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 58,01 €
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Mots-clés :
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