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xMIL

imported

software/xmil

xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
bifold-pathomics
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
computational-pathology · digital-pathology · explainability · explainable-ai · explainable-ml · heatmaps · histopathology · lrp
Regulatory
unknown
built by · 2

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.

  • HiPScomputational-pathology · digital-pathology · explainable-ai

    Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis

  • SecondLookdigital-pathology · explainable-ai · histopathology

    BCC detector with Claude as a Grad-CAM trust layer - attention check for the doctor's final call.

  • ACMILcomputational-pathology · digital-pathology · histopathology

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

  • aestetikcomputational-pathology · digital-pathology · histopathology

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

  • DeepSpotcomputational-pathology · digital-pathology · histopathology

    DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and single-cell (Xenium) resolution.

  • eosincomputational-pathology · digital-pathology · histopathology

    Open infrastructure for whole-slide imaging — distributed tile serving, real-time AI, and modern annotation tooling.

sources
  1. api.github.com/repos/bifold-pathomics/xMIL
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-04-27, 37 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/59.json→ .entries["xmil"]

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