Work

Integrated local binary pattern texture features for classification of breast tissue imaged by optical coherence microscopy

Year: 2017

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2017.03.002

Authors: Sunhua Wan, Hsiang-Chieh Lee, Xiaolei Huang, Ting Xu, Tao Xu, Xianxu Zeng, Zhan Zhang, Yuri Sheikine, James L. Connolly, James G. Fujimoto, Chao Zhou

Institutions: Lehigh University, Massachusetts Institute of Technology, Third Affiliated Hospital of Zhengzhou University, Beth Israel Deaconess Medical Center, Harvard 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: green

Funders: National Science Foundation, National Natural Science Foundation of China, National Institutes of Health, National Eye Institute, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Biomedical Imaging and Bioengineering

Awards: G1169916466, G1807794573, G2310300948, G5597294042, G5645007186, Optical Biopsy Using Optical Coherence Tomography, Modeling and analysis of actin filament organization in yeast, G9000048527, G9000136118, G9000143037, G9000242235

OpenAlex ID: W2592062770

FWCI: 4.059

Cites: 94

Cited by: 55

Related to: 10