breast_cancer_classifier and Breast-Cancer-Image-Classification-with-DenseNet121
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 Breast-Cancer-Image-Classification-with-DenseNet121
m3mentomor1/Breast-Cancer-Image-Classification-with-DenseNet121
This project utilizes a sophisticated deep learning model trained to classify breast ultrasound images into three categories: benign, malignant, or normal, thus determining the presence of breast cancer.
This project helps medical professionals and researchers quickly classify breast ultrasound images to identify potential breast cancer. You input breast ultrasound images, and it outputs a classification for each image: 'benign', 'malignant', or 'normal'. This tool is designed for healthcare practitioners involved in breast cancer screening and diagnosis.
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