FEW-SHOT image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning

FEW-SHOT image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning

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The ability to adapt medical image segmentation networks for a novel class such as an unseen anatomical or pathological structure, when only a few labelled examples of this class are available from local healthcare providers, is sought-after. This potentially addresses two widely recognised limitati...

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Detaylı Bibliyografya
Asıl Yazarlar: Li, Y, Fu, Y, Yang, Q, Min, Z, Yan, W, Huisman, H, Barratt, D, Prisacariu, VA, Hu, Y
Materyal Türü: Conference item
Dil:English
Baskı/Yayın Bilgisi: IEEE 2022

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