Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images

Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images

Tumor segmentation is a fundamental task in histopathological image analysis. Creating accurate pixel-wise annotations for such segmentation tasks in a fully-supervised training framework requires significant effort. To reduce the burden of manual annotation, we propose a novel weakly supervised seg...

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Bibliographic Details
Main Authors: Yiqing Liu, Qiming He, Hufei Duan, Huijuan Shi, Anjia Han, Yonghong He
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
histology images
tumor segmentation
sparse annotation
weakly-supervised learning
semi-supervised learning
Online Access:https://www.mdpi.com/1424-8220/22/16/6053

Internet

https://www.mdpi.com/1424-8220/22/16/6053

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