avakanski/Attention-Enriched-DL-Model-for-Breast-Tumor-Segmentation

Salient attention U-Net model for tumor segmentation in breast ultrasound images, based on visual saliency maps

/ 100

Emerging

No commits in the last 6 months.

No License Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 8 / 25

Maturity 8 / 25

Community 17 / 25

Stars

Forks

Language

Jupyter Notebook

License

—

Category

Last pushed

Jun 26, 2021

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/avakanski/Attention-Enriched-DL-Model-for-Breast-Tumor-Segmentation"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

dipy/dipy

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for...

Project-MONAI/MONAI

AI Toolkit for Healthcare Imaging

Project-MONAI/MONAILabel

MONAI Label is an intelligent open source image labeling and learning tool.

neuronets/nobrainer

A framework for developing neural network models for 3D image processing.

axondeepseg/axondeepseg

Axon/Myelin segmentation using Deep Learning