The ConvPath software - which incorporates image segmentation, deep learning, and feature extraction algorithms - is publicly accessible at https://qbrc.swmed.edu/projects/cnn/.
The study's lead authors include Shidan Wang, QBRC Data Scientist II; Dr. Tao Wang, Assistant Professor of Population and Data Sciences and in the Center for the Genetics of Host Defense; and Dr. Donghan M. Yang, QBRC Project Manager. Other co-authors from UT Southwestern include Dr. Yang Xie, Professor of Population and Data Sciences, a Professor in the Lyda Hill Department of Bioinformatics, and Director of the QBRC, and Dr. John Minna, Professor of Pharmacology and Internal Medicine and Director of the Hamon Center for Therapeutic Oncology Research. Dr. Minna holds the Sarah M. and Charles E. Seay Distinguished Chair in Cancer Research and the Max L. Thomas Distinguished Chair in Molecular Pulmonary Oncology.
The study was supported by the National Institutes of Health and the Cancer Prevention and Research Institute of Texas.
About UT Southwestern Medical Center
UT Southwestern, one of the premier academic medical centers in the nation, integrates pioneering biomedical research with exceptional clinical care and education. The institution's faculty has received six Nobel Prizes, and includes 22 members of the National Academy of Sciences, 17 members of the National Academy of Medicine, and 15 Howard Hughes Medical Institute Investigators. The full-time faculty of more than 2,500 is responsible for groundbreaking medical advances and is committed to translating science-driven research quickly to new clinical treatments. UT Southwestern physicians provide care in about 80 specialties to more than 105,000 hospitalized patients, nearly 370,000 emergency room cases, and oversee approximately 3 million outpatient visits a year.
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