Learning what and where to segment: A new perspective on medical image few-shot segmentation

Traditional medical image segmentation methods based on deep learning require experts to provide extensive manual delineations for model training. Few-shot learning aims to reduce the dependence on the scale of training data but usually shows poor generalizability to the new target. The trained mode...

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Bibliographic Details
Main Authors:	Feng, Y. (Author), Li, H. (Author), Qu, M. (Author), Wang, Y. (Author), Yang, J. (Author)
Format:	Article
Language:	English
Published:	Elsevier B.V. 2023
Subjects:	article attention controlled study Decoding Deep learning echocardiography Echocardiography Few-shot segmentation human Image segmentation learning Medical image segmentation Medical imaging Medical prior knowledge Model training nuclear magnetic resonance imaging Organ segmentation Prior-knowledge Segmentation methods Shot segmentation Spatial informations Training data
Online Access:	View Fulltext in Publisher View in Scopus

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View Fulltext in Publisher
View in Scopus

Learning what and where to segment: A new perspective on medical image few-shot segmentation

Internet

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