Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis-Reference-Cited by-同舟云学术

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

Published:2015-12 Issue: Volume:46 Page:20-29
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

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

Funder

National Natural Science Foundation of China

Six Major Talents Summit of Jiangsu Province

Natural Science Foundation of Jiangsu Province of China

National Cancer Institute of the National Institutes of Health

National Institute of Diabetes and Digestive and Kidney Diseases

DOD Prostate Cancer Synergistic Idea Development Award

DOD Lung Cancer Idea Development New Investigator Award

DOD Prostate Cancer Idea Development Award

Ohio Third Frontier Technology

CTSC Coulter Annual Pilot Grant

Case Comprehensive Cancer Center Pilot Grant VelaSano Grant from the Cleveland Clinic

Wallace H. Coulter Foundation Program

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

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