breast_cancer_classifier and Deep-Learning-Approaches-for-Enhanced-Breast-Cancer-Detection
About breast_cancer_classifier
nyukat/breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
This project helps radiologists and medical researchers evaluate breast cancer risk from mammography screenings. You input a set of four standard-view mammogram images (and optionally, heatmaps if you have them) and it outputs predictions for the probability of benign and malignant findings for each breast. This is designed for professionals involved in breast cancer screening and research who use mammogram images.
About Deep-Learning-Approaches-for-Enhanced-Breast-Cancer-Detection
harshjuly12/Deep-Learning-Approaches-for-Enhanced-Breast-Cancer-Detection
A deep learning project aimed at early detection of breast cancer by classifying tumors as benign or malignant based on features extracted from cell images. The project demonstrates data preprocessing, model training, and evaluation using various deep learning algorithms to achieve high accuracy in predictions.
This project helps medical professionals identify breast cancer by analyzing features extracted from cell images. It takes raw cell image data and outputs a classification of tumors as either benign or malignant, aiding in early detection. This tool is designed for pathologists, oncologists, and other medical practitioners involved in cancer diagnosis.
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