openmedical/registry
← registry

DeepSpot

imported

software/deepspot

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

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
ratschlab
Country
unknown
Documentation
unknown
Tags
bioinformatics · cancer-research · computational-pathology · deep-learning · digital-pathology · foundation-models · gene-expression · histopathology
Regulatory
unknown
built by · 3

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.

  • DeepSpot2Cellbioinformatics · computational-pathology · digital-pathology · foundation-models · gene-expression

    DeepSpot2Cell: Predicting virtual single-cell spatial transcriptomics from H&E images using spot-level supervision

  • raw2featurescomputational-pathology · digital-pathology · foundation-models · histopathology

    OME-Zarr whole-slide images to patch- and slide-level foundation-model embeddings - cloud-native, FAIR, model- and backend-agnostic.

  • aestetikbioinformatics · computational-pathology · digital-pathology · histopathology

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

  • ACMILcomputational-pathology · digital-pathology · histopathology

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

  • eosincomputational-pathology · digital-pathology · histopathology

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

  • gigapixel-goblincomputational-pathology · digital-pathology · histopathology

    GIANT-style WSI navigation env plus MultiPathQA eval runner. Plug in any VLM, zoom with bboxes, log trajectories, and score accuracy.

sources
  1. api.github.com/repos/ratschlab/DeepSpot
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-03, 91 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/55.json→ .entries["deepspot"]

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