The medical sector is now searching for an automated decision support system for evaluating the major risk of breast cancer. This paper has proposed a medical expert system named Transparent Decision Support System for Breast Cancer (TDSSBC) to manage BC by evaluating the Major Risk factors. The...
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industry and the general public. Leibniz institutions collaborate intensively with universities - including in the form of Leibniz ScienceCampi - as well as with industry and other partners at home and abroad. They are subject to a transparent, independent evaluation procedure. B...
Accessing the massive amount of breast cancer data that are currently publicly available may seem daunting to the brand new graduate student embarking on his/her first project or even to the seasoned lab leader, who may wish to explore a new avenue of in
This study addresses the core issue facing a surgical team during breast cancer surgery: quantitative prediction of tumor likelihood including estimates of prediction error. We have previously reported that a molecular probe, Laser Raman spectroscopy (LR
562 Transparent Plastic Device; a New Tool for Near Infrared Guided Indocyanine Green Sentinel Node Biopsy in Breast Cancerdoi:10.1016/S0959-8049(12)70627-5K. Polom and D. Murawa and Y.S. RhoEuropean Journal of Cancer
Though consistently shown to detect mammographically occult cancers, breast ultrasound has been noted to have high false-positive rates. In this work, we present an AI system that achieves radiologist-level accuracy in identifying breast cancer in ultras
Each cell is represented by a red symbol. A Mann-Whitney test was used to calculate the P values shown on the graph (n = 3 experiments; **p = 0.0016, ***p = 0.0001). (B) phosphorylation of Cells AKT waterreesliedfut eusnTtrheraetoednionret3re0a8te(pdT...