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Kather100K Colorectal Tissue Classifier (ResNet50)

Popular
huggingface
Image Generation

ResNet50 from the TIA Toolbox model zoo, trained on the Kather100K dataset of 100,000 hematoxylin-and-eosin colorectal histology patches. It classifies a tissue tile into one of nine categories such as tumor epithelium, stroma, lymphocytes, mucus, smooth muscle, debris, adipose, background and normal mucosa. Research use only, not a diagnostic device.

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TL;DR·Last updated June 24, 2026

Kather100K Colorectal Tissue Classifier (ResNet50) is image generation AI model from huggingface, priced at €0.000 per 1M input tokens with a unknown context window.

About this model

This is a re-hosted copy of the ResNet50 colorectal classifier from the TIA Toolbox model zoo (CC-BY-4.0). It was trained on the Kather et al. NCT-CRC-HE-100K collection of 100,000 H&E-stained image tiles from human colorectal cancer and healthy tissue. Given a single patch it returns the most likely tissue class out of the nine Kather categories, which is a common building block for tumor-region mapping and tissue-composition analysis in computational pathology. It is a research and education tool and must not be used for clinical diagnosis.
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Pricing

Price per Generation
Per generation€1.00

API Integration

Use our OpenAI-compatible API to integrate Kather100K Colorectal Tissue Classifier (ResNet50) into your application.

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

const rw = railwail("YOUR_API_KEY");

const images = await rw.run("kather100k-colorectal-resnet50", "A beautiful sunset over Tokyo");
console.log(images[0].url);

// Or use the image() method for full control
const res = await rw.image("kather100k-colorectal-resnet50", "A cat in space", {
  size: "1024x1024",
  n: 1,
});
console.log(res.data[0].url);
Specifications
Price
€1.00
Developer
huggingface
Category
Image Generation
Supported Formats
image
Tags
huggingface
medical
research
not-diagnostic
pathology
histopathology
colorectal
kather100k
tiatoolbox
image-classification
image

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