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Pneumonia Model
P
Pneumonia Model
Developed by Borjamg
A deep learning model based on ViT architecture for identifying pneumonia symptoms in chest X-ray images
Downloads 25
Release Time : 4/4/2024
Model Overview
This model is fine-tuned based on Google's ViT architecture, specifically designed for binary classification tasks on chest X-ray images, capable of distinguishing between normal images and pneumonia-positive images
Model Features
High-Accuracy Pneumonia Detection
Optimized based on ViT architecture, excelling in chest X-ray image classification tasks
Specialized for Medical Imaging
Specifically optimized for chest X-ray images, suitable for medical diagnostic assistance
Binary Classification
Can output either normal (LABEL_0) or pneumonia-positive (LABEL_1) results
Model Capabilities
Medical Image Analysis
Binary Classification Task Processing
X-ray Image Feature Extraction
Use Cases
Medical Diagnosis
Pneumonia Screening
Automatically analyzes chest X-rays to assist doctors in pneumonia diagnosis
Can quickly identify pneumonia-positive cases
Medical Image Classification
Automatically classifies and organizes large volumes of X-ray images
Improves the efficiency of radiology departments
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