Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration

The prowess that makes few-shot learning desirable in medical image analysis is the efficient use of the support image data, which are labelled to classify or segment new classes, a task that otherwise requires substantially more training images and expert annotations. This work describes a fully 3D...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Li, Y, Fu, Y, Gayo, IJMB, Yang, Q, Min, Z, Saeed, SU, Yan, W, Wang, Y, Noble, JA, Emberton, M, Clarkson, MJ, Huisman, H, Barratt, DC, Prisacariu, VA, Hu, Y
Μορφή: Journal article
Γλώσσα:English
Έκδοση: Elsevier 2023