Consistency and adversarial semi-supervised learning for medical image segmentation

Medical image segmentation based on deep learning has made enormous progress in recent years. However, the performance of existing methods generally heavily relies on a large amount of labeled data, which are commonly expensive and time-consuming to obtain. To settle above issue, in this paper, a no...

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Vydáno v:	Computers in biology and medicine Ročník 161; s. 107018
Hlavní autoři:	Tang, Yongqiang, Wang, Shilei, Qu, Yuxun, Cui, Zhihua, Zhang, Wensheng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Ltd 01.07.2023 Elsevier Limited
Témata:	Adversarial learning Brain tumors Collaboration Consistency Datasets Deep learning Deep neural network Discriminators Glaucoma Glioma Image processing Image segmentation Internal Medicine Mean teacher Medical image segmentation Medical imaging Other Semi-supervised learning Skin diseases Skin lesions Training Tumors Deep neural network Mean teacher Adversarial learning Semi-supervised learning Medical image segmentation
ISSN:	0010-4825, 1879-0534, 1879-0534
On-line přístup:	Získat plný text
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