A Review of Non-Fully Supervised Deep Learning for Medical Image Segmentation

A Review of Non-Fully Supervised Deep Learning for Medical Image Segmentation

Medical image segmentation, a critical task in medical image analysis, aims to precisely delineate regions of interest (ROIs) such as organs, lesions, and cells, and is crucial for applications including computer-aided diagnosis, surgical planning, radiation therapy, and pathological analysis. While...

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Bibliographic Details
Main Authors: Xinyue Zhang, Jianfeng Wang, Jinqiao Wei, Xinyu Yuan, Ming Wu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Information
Subjects:
medical image segmentation
semi-supervised learning
weakly supervised learning
unsupervised learning
survey
Online Access:https://www.mdpi.com/2078-2489/16/6/433
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