PCam Lymph-Node Tumor Detector (ResNet18)

huggingface
Image Generation

ResNet18 from the TIA Toolbox zoo, trained on the PatchCamelyon (PCam) dataset of lymph-node histology patches from breast-cancer metastasis screening. It performs binary classification of a 96x96 H&E tile as tumor (metastatic tissue present) or normal. Research use only, not a diagnostic device.

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TL;DRΒ·Last updated June 24, 2026

PCam Lymph-Node Tumor Detector (ResNet18) is image generation AI model from huggingface, priced at €0.000 per 1M input tokens with a unknown context window.

About this model

PatchCamelyon is a widely used benchmark of 327,000 lymph-node patches derived from the Camelyon16 breast-cancer metastasis dataset. This timm ResNet18 checkpoint, re-hosted from the TIA Toolbox model zoo, predicts whether the center region of an H&E tile contains metastatic tumor tissue. It is a standard baseline for weakly-supervised metastasis detection and a compact, fast model for tumor-versus-normal patch screening experiments. Strictly research and education, not for clinical diagnosis.
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Pricing

Price per Generation
Per generation€1.00

API Integration

Use our OpenAI-compatible API to integrate PCam Lymph-Node Tumor Detector (ResNet18) into your application.

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

const rw = railwail("YOUR_API_KEY");

const images = await rw.run("pcam-lymph-node-tumor-resnet18", "A beautiful sunset over Tokyo");
console.log(images[0].url);

// Or use the image() method for full control
const res = await rw.image("pcam-lymph-node-tumor-resnet18", "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
breast-cancer
pcam
metastasis
tiatoolbox
resnet18
image-classification
image

Frequently asked questions

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