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prostate-cancer-detection

imported

software/prostate-cancer-detection

CNN ensemble for prostate cancer Gleason grading

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

prostate-cancer-detection project image
GitHub preview card for DrHB/prostate-cancer-detection. 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
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
deep-learning · digital-pathology · gleason-grading · histopathology · medical-imaging · prostate-cancer · 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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    Stain normalization tools for histological analysis and computational pathology

  • TRUSGlandSegmentationmedical-imaging · prostate-cancer · pytorch

    Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study

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    [ECCV 2026] A Patient-First Foundation Model for Computational Pathology

  • ACMILdigital-pathology · histopathology

    Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)

  • aestetikdigital-pathology · histopathology

    AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data

sources
  1. api.github.com/repos/DrHB/prostate-cancer-detection
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-01-28, 19 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/6.json→ .entries["prostate-cancer-detection"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.