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Vit Pneumonia

Developed by trpakov
A pneumonia detection model based on the ViT architecture, fine-tuned on a chest X-ray classification dataset with an accuracy rate of 97.68%
Image Classification
Transformers
Open Source License:Apache-2.0#Medical Image Analysis#High-Accuracy Pneumonia Detection#Fine-tuned ViT Model
Downloads 23
Release Time : 3/13/2023

Model Overview

This model is a medical image classification model based on the ViT architecture, specifically designed for detecting pneumonia from chest X-rays. It performs exceptionally well on the validation set, achieving an accuracy rate of 97.68%.

Model Features

High Accuracy
Achieves 97.68% accuracy on the chest X-ray classification validation set
ViT-Based Architecture
Utilizes the Vision Transformer architecture, suitable for processing medical images
Fine-Tuned Optimization
Fine-tuned on google/vit-base-patch16-224-in21k specifically for medical images

Model Capabilities

Chest X-ray Image Classification
Pneumonia Detection
Medical Image Analysis

Use Cases

Medical Diagnosis
Pneumonia-Assisted Diagnosis
Assists doctors in identifying pneumonia symptoms from chest X-rays
Validation set accuracy of 97.68%
Medical Image Analysis
Automatically analyzes chest X-rays and marks potential abnormal areas
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