Interpretability of Machine Intelligence in Medical Image Computing - 8th International Workshop, iMIMIC 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings

This book constitutes the refereed proceedings of the 8th International Workshop, iMIMIC 2025, held in Conjunction with MICCAI 2025, in Daejeon, South Korea, on September 27, 2025.
The 15 full papers included in this volume were carefully reviewed and selected from 22 submissions. 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.

Riassunto

This book constitutes the refereed proceedings of the 8th International Workshop, iMIMIC 2025, held in Conjunction with MICCAI 2025, in Daejeon, South Korea, on September 27, 2025.
The 15 full papers included in this volume were carefully reviewed and selected from 22 submissions. 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.

Dettagli sul prodotto

• Con la collaborazione di: Jaime Cardoso (Editore), Pedro Henriques Abreu (Editore), Mauricio Reyes (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 11.04.2026
• EAN: 9783032176103
• ISBN: 978-3-0-3217610-3
• Pagine: 162
• Dimensioni: 155 mm x 9 mm x 235 mm
• Peso: 271 g
• Illustrazioni: X, 162 p. 53 illus., 52 illus. in color.
• Serie: Lecture Notes in Computer Science
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Elettronica, elettrotecnica, telecomunicazioni; machine learning, Lehrmittel, Lerntechnologien, E-Learning, Maschinelles Lernen, Artificial Intelligence, Deep Learning, fuzzy logic, DV-gestützte Biologie/Bioinformatik, Maschinelles Sehen, Bildverstehen, Bildverarbeitung, Mathematics, bioinformatics, Neural Networks, Computer Vision, Image Analysis, Explainable AI, Computers and Education, Image processing, Mathematical and Computational Biology, Fuzzy Systems, Computer Application in Social and Behavioral Sciences, Computer systems, Trustworthy AI, Fuzzy sets, genetic algorithms, medical images, medical image analysis, Evolutionary Algorithms, fuzzy rules