ViT COVID-19 CT Scan Classifier

huggingface
Image Generation

ViT base (patch16-224, ImageNet-21k pretrained) fine-tuned on lung CT scans to flag COVID-19 findings. Takes a CT slice image and returns COVID versus non-COVID class scores. Built for research on CT-based COVID screening. Research and education only, not a diagnostic tool.

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TL;DR·Last updated June 24, 2026

ViT COVID-19 CT Scan Classifier is image generation AI model from huggingface, priced at €0.000 per 1M input tokens with a unknown context window.

About this model

This classifier fine-tunes a ViT base model on a labelled COVID-19 lung CT scan dataset. It accepts a single axial CT slice and produces a binary probability output indicating likely COVID-19 involvement. It is meant for studying CT-based detection methods and building demo pipelines. It has no regulatory clearance and must not be used for patient care.
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Pricing

Price per Generation
Per generation€1.00

API Integration

Use our OpenAI-compatible API to integrate ViT COVID-19 CT Scan 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("vit-covid19-ct-scan-classifier", "A beautiful sunset over Tokyo");
console.log(images[0].url);

// Or use the image() method for full control
const res = await rw.image("vit-covid19-ct-scan-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
radiology
huggingface
covid
ct-scan
image-classification
vit

Frequently asked questions

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