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Vit Finetuned Chest Xray Pneumonia

Developed by nickmuchi
A chest X-ray pneumonia detection model fine-tuned based on the Vision Transformer (ViT) architecture, achieving 95.51% accuracy in pneumonia detection tasks.
Downloads 928
Release Time : 3/9/2022

Model Overview

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on a chest X-ray pneumonia dataset, specifically designed for detecting pneumonia from chest X-ray images.

Model Features

High Accuracy
Achieves 95.51% accuracy on the evaluation set, demonstrating excellent performance.
Based on ViT Architecture
Utilizes the advanced Vision Transformer architecture, suitable for processing medical images.
Fine-tuned Training
Fine-tuned on a professional chest X-ray dataset, optimized for pneumonia detection tasks.

Model Capabilities

Chest X-ray Classification
Pneumonia Detection
Medical Image Analysis

Use Cases

Medical Diagnosis
Pneumonia Assisted Diagnosis
Helps doctors quickly identify pneumonia symptoms in X-ray images
95.51% accuracy
Medical Imaging Screening
Used for preliminary screening of large-scale chest X-ray images
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