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Vit Base Xray Pneumonia Lcbsi

Developed by polejowska
X-ray pneumonia detection model based on ViT architecture, achieving 97.73% accuracy after fine-tuning on a specific dataset
Image Classification
Transformers
Open Source License:Apache-2.0#X-ray Pneumonia Detection#High-Accuracy Medical Imaging#ViT Vision Model
Downloads 28
Release Time : 12/14/2022

Model Overview

This model is a medical image analysis model based on the Vision Transformer (ViT) architecture, specifically designed for detecting pneumonia symptoms from chest X-rays.

Model Features

High Accuracy
Achieves 97.73% classification accuracy on the validation set
ViT-Based Architecture
Utilizes the Vision Transformer architecture, suitable for processing medical images
Fine-Tuned Optimization
Targeted fine-tuning on the base model enhances performance for specific tasks

Model Capabilities

Chest X-ray Analysis
Pneumonia Symptom Detection
Medical Image Classification

Use Cases

Medical Diagnosis
Pneumonia Auxiliary Diagnosis
Assists doctors in identifying pneumonia symptoms from chest X-rays
Validation accuracy reaches 97.73%
Medical Image Screening
Used for preliminary screening of large-scale chest X-rays
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