Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
Produktnummer:
18061455a111f942798629b232ce515ee4
| Themengebiete: | artificial intelligence ct image image analysis image reconstruction image segmentation imaging systems learning algorithms machine learning medical images medical imaging |
|---|---|
| Veröffentlichungsdatum: | 12.10.2019 |
| EAN: | 9783030333904 |
| Sprache: | Englisch |
| Seitenzahl: | 254 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Albarqouni, Shadi Cardoso, M. Jorge Jiang, Steve Kamnitsas, Konstantinos Le, Ngan Luu, Khoa Milletari, Fausto Nguyen, Hien V. Patel, Vishal Rieke, Nicola Roysam, Badri Wang, Qian Xu, Ziyue Zhou, Kevin |
| Verlag: | Springer International Publishing |
| Untertitel: | First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings |
Produktinformationen "Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data"
This book constitutes the refereed proceedings of the First MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2019, and the First International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. DART 2019 accepted 12 papers for publication out of 18 submissions. The papers deal with methodological advancements and ideas that can improve the applicability of machine learning and deep learning approaches to clinical settings by making them robust and consistent across different domains. MIL3ID accepted 16 papers out of 43 submissions for publication, dealing with best practices in medical image learning with label scarcity and data imperfection.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen