Breast Cancer Screening from Histopathology Images using Pre-trained Sequential Model
Shikha Prasher, Leema Nelson, Dinesh Kumar · 2023
Breast cancer disease is one of the most common and dangerous cancers which impact on the quality of life of women. Histopathological pictures, which contain enough phenotypic information, are extremely helpful in the therapy and identification of breast cancer diseases. In our study, we used a dataset of 277524 histopathology pictures to train a sequential deep learning network for breast cancer detection. Images in the dataset were divided into two classes, such as those with cancer and those without cancer. After examining the sequential approach, accuracy rates of 96.19% and loss of 12.71% achieved.