Work

Uncertainty-guided cross teaching semi-supervised framework for histopathology image segmentation with curriculum self-training

Year: 2025

Type: article

Source: Applied Soft Computing

DOI: 10.1016/j.asoc.2025.113328

Authors: Rui Xu, Nan Zhou, Siyang Feng, Zhenbing Liu, Huahu Deng, Yajun An, Jian Li, Chu Han, Zaiyi Liu, Rushi Lan, Cheng Lu, Xipeng Pan

Institutions: Guilin University of Electronic Technology, Guangdong Academy of Medical Sciences, Guangdong Provincial People's Hospital

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Natural Science Foundation of Guangxi Zhuang Autonomous Region, National Natural Science Foundation of China, Natural Science Foundation of Guangxi Province, Guangxi Key Research and Development Program

Awards: G1097824405, G1151309637, G1833665536, G2285338955, G4680969751, G482842822, G5386280311, G5546355128, G7058615820, G7167264676, G8193863040, G8669342050

OpenAlex ID: W4411048397

FWCI: 1.243

Cites: 71

Cited by: 5

Related to: 10