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

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

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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...

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Bibliographic Details
Main Authors:	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
Format:	Journal article
Language:	English
Published:	Elsevier 2023

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