Expression of Concern for: Breast Cancer Prediction using Deep Learning Techniques
Apparna Allada, Ganga Rama Koteswara Rao, Prasad Chitturi, Hema Chindu, Mannem Siva Naga Prasad, Poojitha Tatineni · 2021
Breast cancer is one of the fundamental drivers for the disease spread across the globe. Early diagnostics builds the odds of right treatment and endurance, however this cycle is dreary and regularly prompts a contradiction between pathologists. PC helps the determination frameworks with the indicated potential for improving the symptomatic exactness. In any case, early recognition and anticipation can altogether reduce the fatality. Henceforth, it is foremost to detect breast cancer as early as possible. Furthermore, the proposed research work has developed a machine learning model, wherein the model gets trained by considering the parameters such as: radius, texture, perimeter, area, smoothness, concavity, concaveness, and compactness. Here, all these parameters are taken in mean and overall values are considered. Moreover, the model is trained by using auto AI service in IBM cloud and that can be deployed either in web or mobile applications.