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Ultrasound Lung

Developed by hamdan07
A multi-class classification model for lung ultrasound images trained with AutoTrain, featuring high accuracy
Image Classification
Transformers
#Medical Image Classification#High-Precision Diagnosis#Lung Ultrasound Analysis
Downloads 49
Release Time : 2/6/2023

Model Overview

This model is designed for classifying lung ultrasound images, suitable for medical image analysis scenarios. Developed through AutoTrain's automated training pipeline, it demonstrates outstanding performance on validation sets.

Model Features

High-Precision Classification
Achieves 100% accuracy and F1 score on validation sets
Eco-Friendly Training
Training process produces only 1.397 grams of CO₂ emissions
Automatic Optimization
AutoTrain automatically selects optimal training parameters and processes

Model Capabilities

Lung Ultrasound Image Classification
Medical Image Analysis
Multi-class Recognition

Use Cases

Medical Diagnosis
Lung Disease Screening
Automatically identifies lung abnormalities through ultrasound images
High-accuracy recognition (100% accuracy on validation sets)
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