Work

An improved 3-D attention CNN with hybrid loss and feature fusion for pulmonary nodule classification

Year: 2022

Type: article

Source: Computer Methods and Programs in Biomedicine

DOI: 10.1016/j.cmpb.2022.107278

Authors: Yao-Sian Huang, Teh-Chen Wang, Sheng-Zhi Huang, Jun Zhang, Hsin-Ming Chen, Yeun-Chung Chang, Ruey-Feng Chang

Institutions: National Changhua University of Education, Taipei Municipal YangMing Hospital, Taipei City Hospital, National Taiwan University, National Taiwan University Hospital, National Science and Technology Council

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Ministry of Science and Technology of the People's Republic of China, Ministry of Science and Technology, Taiwan

Awards: G485232621, Deep Learning Computer-Aided Tumor Detection and Diagnosis for Automated Whole Breast Ultrasound

OpenAlex ID: W4310073761

FWCI: 1.385

Cites: 41

Cited by: 23

Related to: 10