Work

Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis

Year: 2015

Type: article

Source: Computerized Medical Imaging and Graphics

DOI: 10.1016/j.compmedimag.2015.04.002

Authors: Jun Xu, Lei Xiang, Guanhao Wang, Shridar Ganesan, Michael Feldman, Natalie NC Shih, Hannah Gilmore, Anant Madabhushi

Institutions: Nanjing University of Information Science and Technology, Rutgers Cancer Institute, Hospital of the University of Pennsylvania, University Hospitals Cleveland Medical Center, Case Western Reserve University

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, U.S. Department of Defense, Wallace H. Coulter Foundation, University of Pennsylvania, Cleveland Clinic, Case Comprehensive Cancer Center, Case Western Reserve University, National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, National Institutes of Health, Clinical and Translational Science Collaborative of Cleveland, School of Medicine, Case Western Reserve University, National Cancer Institute, National Institute of Diabetes and Digestive and Kidney Diseases, Technology Development, Department of Biomedical Engineering, Case Western Reserve University

Awards: G1053922764, G1076473199, G1817764594, G2295001995, G2326171239, G2724173982, G35383115, G4331895109, G5302883106, G5375817562, Computerized morphologic-molecular predictor of progression in DCIS, G9000000546, G9000107578, G9000167609, G9000304339

OpenAlex ID: W2083384375

FWCI: 6.22

Cites: 43

Cited by: 65

Related to: 10