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medical_image_segmentation

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software/medical-image-segmentation

Medical image segmentation ( Eye vessel segmentation)

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

medical_image_segmentation project image
GitHub preview card for CVxTz/medical_image_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
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
convolutional-neural-networks · keras · medical-imaging · segmentation
Regulatory
unknown
built by · 1

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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    Neural networks toolbox focused on medical image analysis

  • u-netconvolutional-neural-networks · keras · medical-imaging

    U-Net: Convolutional Networks for Biomedical Image Segmentation

  • nn-common-modulesconvolutional-neural-networks · medical-imaging · segmentation

    Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models

  • quickNAT_pytorchconvolutional-neural-networks · medical-imaging · segmentation

    PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

  • arl-eegmodelsconvolutional-neural-networks · keras

    This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

sources
  1. api.github.com/repos/CVxTz/medical_image_segmentation
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2020-04-16, 138 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/61.json→ .entries["medical-image-segmentation"]

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