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Autotrain Cxr Cfdl Repro 40197105212
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Autotrain Cxr Cfdl Repro 40197105212

Developed by katielink
This is a binary classification visual model built through an automated training process, excelling in medical image classification tasks.
Image Classification
Transformers
#High-precision image classification#Medical image analysis#Low-emission training
Downloads 16
Release Time : 3/11/2023

Model Overview

This model is specifically designed for classifying chest X-rays (CXR) and computed tomography (CFDL) images. It is constructed using automated training technology and possesses high-accuracy binary classification capabilities.

Model Features

High-precision classification
Achieves 98% accuracy and 99% recall on the validation set
Eco-friendly training
The training process produces only 0.0082 grams of CO2 emissions
Automatic optimization
Optimizes model parameters through automated training processes

Model Capabilities

Medical image classification
Binary classification
Image feature extraction

Use Cases

Medical image analysis
Chest X-ray classification
Automatically distinguishes between normal and abnormal chest X-ray images
Validation F1 score reaches 0.987
CT image analysis
Automatically classifies computed tomography images
AUC metric reaches 0.997
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