AyaShehata903/BreastCancerDetection
This program is designed to predict two severity of abnormalities associated with breast cancer cells: benign and malignant. Mammograms from MIAS is preprocessed and features are extracted using the pre-trained CNN.
This program helps radiologists and medical professionals quickly assess mammogram images for signs of breast cancer. You provide a mammogram image, and the system identifies whether any abnormalities are benign or malignant, helping to prioritize further investigation. It is designed for medical imaging specialists.
No commits in the last 6 months.
Use this if you need an initial, automated assessment of mammogram images to classify potential breast cancer abnormalities as benign or malignant.
Not ideal if you require a definitive diagnosis or are looking for a tool to replace the expertise of a trained medical professional.
Stars
8
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 07, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AyaShehata903/BreastCancerDetection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
nyukat/breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
lishen/end2end-all-conv
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
naomifridman/BreastDCEDL
BreastDCEDL is a deep learning–ready DCE-MRI dataset of 2,070 breast cancer patients, sourced...
nyukat/GMIC
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly...
cbailes/awesome-ai-cancer
Awesome artificial intelligence in cancer diagnostics and oncology