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MedVision

imported

software/medvision

Medical Image Vision Operators, such as RoIAlign, DCNv1, DCNv2 and NMS for both 2/3D images.

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

record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
cuda · data-augmentation · detection-3d · medical-image-detection · medical-image-processing · medical-image-segmentation · medical-images · pytorch
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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  • ultrasound-image-enhancement-modified-esrganmedical-image-processing · pytorch

    Modified ESRGAN-based deep learning model for ultrasound image enhancement using PyTorch

  • AUDITmedical-image-processing · medical-image-segmentation

    AUDIT - Analysis & Evaluation Dashboard of Artificial Intelligence

  • CapsNetsLASegmedical-image-processing · medical-image-segmentation

    Capsule Networks and Convolutional Neural Networks for the Automated Segmentation of Left Atrium in Cardiac MRI

  • kits19.MIScnnmedical-image-processing · medical-image-segmentation

    Kidney Tumor Segmentation Challenge 2019: MIScnn - 3D Residual U-Net

  • LightMedmedical-image-processing · medical-image-segmentation

    FFTMed: leveraging fast-fourier transform for a lightweight and adversarial-resilient medical image segmentation framework (published at Scientific Reports - Nature)

sources
  1. api.github.com/repos/TimothyZero/MedVision
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-02-03, 55 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/5.json→ .entries["medvision"]

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