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Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	September 2021
Genre:	EDV / Informatik
	AnalysisofBiomedicaldata / angewandte informatik / Bildverarbeitung / classificationmethods / ComputerNetworks / computerscience / computersystems / Computervision / correlationanalysis / DeepLearning / deeplearningmodelsformedicalapplications / Evolutionaryalgorithms / geneticalgorithms / imageanalysis / imageprocessing / Learning / machinelearning / Maschinelles Lernen / Medicalsignalprocessing / networkprotocols / neuralnetworks / Theoretische Informatik / topological-basedapproaches mehr...
ISBN:	9783030874438
EAN-Code:	9783030874438
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 8 mm
Gewicht:	224 gr
Seiten:	140
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.