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trustworthy-tls-pathology-audit

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software/trustworthy-tls-pathology-audit

A reproducible reliability audit of a HookNet–YOLO–PathPrism TLS pathology pipeline.

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

trustworthy-tls-pathology-audit project image
GitHub preview card for icarus3344/trustworthy-tls-pathology-audit. 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/icarus3344/trustworthy-tls-pathology-audit
Documentation
unknown
Tags
computational-pathology · digital-pathology · model-robustness · pathology-ai · tertiary-lymphoid-structures
Regulatory
unknown
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  • DeepSpot2Cellcomputational-pathology · digital-pathology

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

sources
  1. api.github.com/repos/icarus3344/trustworthy-tls-pathology-audit
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-11, 3 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/44.json→ .entries["trustworthy-tls-pathology-audit"]

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