Work

Improving breast mass classification by shared data with domain transformation using a generative adversarial network

Year: 2020

Type: article

Source: Computers in Biology and Medicine

DOI: 10.1016/j.compbiomed.2020.103698

Authors: Chisako Muramatsu, Mizuho Nishio, Takuma Goto, Mikinao Oiwa, Takako Morita, Masahiro Yakami, Takeshi Kubo, Kaori Togashi, Hiroshi Fujita

Institutions: Shiga University, Kyoto University Hospital, Gifu University, Nagoya Medical Center, Kyoto University

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 Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science

Awards: Development of computer-aided diagnosis system for lung cancer CT screening using deep learning, Basic research on the construction of a database of diversity lung nodules and the development of a self-learning diagnostic imaging support system, Investigation of multimodality diagnosis assistant system for breast cancer, G8556763875

OpenAlex ID: W3010769727

FWCI: 3.339

Cites: 20

Cited by: 64

Related to: 10