SPIDER Colorectal Pathology Classifier

huggingface
Image Generation

Patch-level colorectal pathology classifier from HistAI, built on the Hibou-L foundation model and trained on the SPIDER colorectal dataset with expert-annotated labels. It classifies a 1120x1120 H&E patch into pathology classes such as high- and low-grade adenocarcinoma, normal mucosa and other tissue types. Research use only, not a diagnostic device.

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TL;DR·Last updated June 24, 2026

SPIDER Colorectal Pathology Classifier is image generation AI model from huggingface, priced at €0.000 per 1M input tokens with a unknown context window.

About this model

SPIDER-colorectal is a baseline model from the SPIDER multi-organ supervised pathology dataset (arXiv:2503.02876). It fine-tunes the Hibou-L histopathology foundation backbone for patch-level colorectal classification using expert-annotated tiles, covering classes including high- and low-grade adenocarcinoma alongside benign tissue categories. It is intended for computational-pathology research and benchmarking and carries a non-commercial license. The model is not a medical device and must not be used for clinical diagnosis.
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Pricing

Price per Generation
Per generation€2.00

API Integration

Use our OpenAI-compatible API to integrate SPIDER Colorectal Pathology Classifier into your application.

Install
npm install railwail
JavaScript / TypeScript
import railwail from "railwail";

const rw = railwail("YOUR_API_KEY");

const images = await rw.run("spider-colorectal-pathology", "A beautiful sunset over Tokyo");
console.log(images[0].url);

// Or use the image() method for full control
const res = await rw.image("spider-colorectal-pathology", "A cat in space", {
  size: "1024x1024",
  n: 1,
});
console.log(res.data[0].url);
Specifications
Price
€2.00
Developer
huggingface
Category
Image Generation
Supported Formats
image
Tags
huggingface
medical
research
not-diagnostic
pathology
histopathology
colorectal
spider
hibou
foundation-model
image-classification
image

Frequently asked questions

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