davide-coccomini/Convolutional-Neural-Network-for-Medical-Imaging-Analysis-Abnormality-detection-in-mammography
Classifiers trained to distinguish between masses and calcifications within mammograms and classifiers able to distinguish whether masses and calcifications are malignant or benign.
No commits in the last 6 months.
Stars
1
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 23, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/davide-coccomini/Convolutional-Neural-Network-for-Medical-Imaging-Analysis-Abnormality-detection-in-mammography"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lishen/end2end-all-conv
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
nyukat/breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
LidiaGarrucho/MAMA-MIA
The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations
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