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is-lesion

hemanth/is-lesion

Detect lesions in MRI scans with TypeSafe Jev and local vision models.

Automated README summary

Automatically summarized from the README on 15 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A JavaScript library and CLI that classifies lesions in MRI and medical scans, returning a label, probability, and bounding box. It supports multiple engines and any Hugging Face dataset for label choices.

How it uses Jev

With engine 'jev', Jev evaluates an image or Hugging Face dataset row against ClassLabel choices using one visual reference exemplar per class, returning noul, choice, score, and box. The result is used as scan.lesion, scan.choice, scan.probability, and scan.box.

Primitives:noulchoicescore

Technique worth stealing

Using one Hugging Face visual reference exemplar per class as typed Jev questions for calibrated lesion classification.

Try it

npm install is-lesion, then npx is-lesion ./scan.jpg

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.67
  • Shows a System One patternnot found in the excerpt0.19
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.28
  • Is a runnable toolFound in material0.95
  • Top-10 learning shortlist signalnot found in the excerpt0.23
  • Is a replica of the modelnot found in the excerpt0.30
  • Solves a common problem (0–2)score on a 0–2 scale1.01 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.67Shows a System One pattern0.19Describes handling uncertainty0.05Reports measured numbers0.28Is a runnable tool0.95Top-10 learning shortlist signal0.23Is a replica of the model0.3000.51Solves a common problem (0–2)1.01 / 2012

no-judgment band (0.40–0.60)

Design patterns
Check-up0.90Funnel0.3000.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 15 Oct 2026.