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Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	März 2022
Genre:	EDV / Informatik
	angewandte informatik / anomalylocalization / ArtificialIntelligence / Bildverarbeitung / Computervision / Digital- und Informationstechnologien# allgemeine Themen / domainshiftandgeneralization / imageanalysis / imageprocessing / imagequality / imagereconstruction / imagesegmentation / machinelearning / multi-modality / neuralnetworks / objectdetection / optimisation / patternrecognition / self-supervisedlearning / signaldetection / signalprocessing / tumordiagnosisandmitosisdetection / unsupervisedlearning mehr...
ISBN:	9783030972806
EAN-Code:	9783030972806
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 12 mm
Gewicht:	318 gr
Seiten:	204
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book constitutes three challenges that were held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, which was planned to take place in Strasbourg, France but changed to an online event due to the COVID-19 pandemic. The peer-reviewed 18 long and 9 short papers included in this volume stem from the following three biomedical image analysis challenges: Mitosis Domain Generalization Challenge (MIDOG 2021), Medical Out-of-Distribution Analysis Challenge (MOOD 2021), and Learn2Reg (L2R 2021). The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications.