Skin Cancer Classifier (Swin, ISIC)

huggingface
Image Generation

Swin Transformer skin-lesion classifier trained on an ISIC-style skin cancer dataset. Predicts eight lesion classes including melanoma, basal cell carcinoma, squamous cell carcinoma, actinic keratosis, nevus, dermatofibroma, benign keratosis and vascular lesion. Research and educational use only, not for diagnosis.

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TL;DR·Last updated June 24, 2026

Skin Cancer Classifier (Swin, ISIC) is image generation AI model from huggingface, priced at €0.000 per 1M input tokens with a unknown context window.

About this model

SwinForImageClassification model by NeuronZero. Compared to the seven-class HAM10000 setups it adds a squamous cell carcinoma (SCC) class, giving labels AK, BCC, BKL, DF, MEL, NV, SCC and VASC. Swin uses a hierarchical windowed attention backbone that is a common alternative to plain ViT for medical image classification. Output is a probability over the eight classes for a single image. Not a substitute for a dermatologist.
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Pricing

Price per Generation
Per generation€1.00

API Integration

Use our OpenAI-compatible API to integrate Skin Cancer Classifier (Swin, ISIC) into your application.

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

const rw = railwail("YOUR_API_KEY");

const images = await rw.run("neuronzero-skin-cancer-classifier", "A beautiful sunset over Tokyo");
console.log(images[0].url);

// Or use the image() method for full control
const res = await rw.image("neuronzero-skin-cancer-classifier", "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
medical
research
not-diagnostic
dermatology
skin-cancer
isic
swin
image-classification

Frequently asked questions

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