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SurvivMIL_COMPAYL

imported

software/survivmil-compayl

SurvivMIL: A multimodal, Multiple Instance Learning pipeline for survival outcome of Neuroblastoma Patients

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

SurvivMIL_COMPAYL project image
GitHub preview card for reednaidoo/SurvivMIL_COMPAYL. 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
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/reednaidoo/SurvivMIL_COMPAYL
Documentation
unknown
Tags
deep-learning · digital-pathology · histopathology · multimodal · multiple-instance-learning · survival-analysis · survival-prediction · whole-slide-image
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.

  • GatedSRPdigital-pathology · histopathology · multiple-instance-learning · survival-prediction · whole-slide-image

    [BMVC 2026 Oral] Gated Spatial Redundancy Projection for Pathology Transformer Attentions

  • MOOZYdigital-pathology · histopathology · multiple-instance-learning · survival-prediction · whole-slide-image

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

  • ACMILdigital-pathology · histopathology · multiple-instance-learning

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

  • SpinPathdigital-pathology · histopathology · multiple-instance-learning

    CLI tool to run specimen-level inference on whole slide images

  • aestetikdigital-pathology · histopathology · multimodal

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

  • torchmilmultiple-instance-learning · whole-slide-image

    Deep Multiple Instance Learning library for Pytorch

sources
  1. api.github.com/repos/reednaidoo/SurvivMIL_COMPAYL
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-05-26, 6 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/58.json→ .entries["survivmil-compayl"]

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