Deep Learning Technology Helps Improve Diagnostics of Breast Cancer

Smart Imaging Technologies has announced new Visual Recognition application based on Deep Learning technology that improves evaluation of breast cancer biomarkers Houston, TX (PRWEB) September 29, 2015 Every year 1.6 million women in US will undergo breast biopsy procedure to determine if cancer is present in the breast tissue. To establish accurate diagnosis, a standard set of cancer biomarkers is applied to the piece of biopsy tissue. Then tissue slice is put on a glass slide and reviewed under the microscope by a pathologist, who will evaluate and score expression of biomarkers. Accurate scoring of biomarker expression patterns is critical for determining best cancer treatment options, but there can be significant differences in how pathologists score biomarkers under the microscope. According to industry studies pathologist may disagree about diagnosis in…


Link to Full Article: Deep Learning Technology Helps Improve Diagnostics of Breast Cancer