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...

Description complète

Détails bibliographiques

Auteurs principaux:	Yiqing Liu, Qiming He, Hufei Duan, Huijuan Shi, Anjia Han, Yonghong He
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2022-08-01
Collection:	Sensors
Sujets:	histology images tumor segmentation sparse annotation weakly-supervised learning semi-supervised learning
Accès en ligne:	https://www.mdpi.com/1424-8220/22/16/6053
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!