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Breast-Cancer-Segmentation

imported

software/breast-cancer-segmentation

Rasa breast cancer radiology AI chatbot to help doctor segment lesions using Unity, Keras Attention UNet, LinkNet, etc

Machine-generated from the listed sources and not yet reviewed by a human.

Breast-Cancer-Segmentation project image
GitHub preview card for AI-Medical-Robotics/Breast-Cancer-Segmentation. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
AI-Medical-Robotics
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
attention-unet · breast-cancer · keras · lesion-segmentation · linknet · mammogram · mri · radiology
Regulatory
unknown
built by · 4

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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  • IndependentEvaluation_publicbreast-cancer · radiology

    Independent evaluation of a multi-view multi-task convolutional neural network breast cancer classification model using Finnish mammography screening data

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    AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved,…

  • mama-synthbreast-cancer · mri

    MAMA-SYNTH Challenge @MICCAI 2026 and Deep-Breath 2026.

sources
  1. api.github.com/repos/AI-Medical-Robotics/Breast-Cancer-Segmentation
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2022-11-29, 3 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/24.json→ .entries["breast-cancer-segmentation"]

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