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Pneumonia Test Attempt
P
Pneumonia Test Attempt
Developed by eren23
This is an image classification model for pneumonia prediction, specifically prepared for the deep learning course assignment at Bielefeld University.
Downloads 35
Release Time : 3/19/2022
Model Overview
The model is implemented based on PyTorch and is primarily used for medical image classification tasks, especially pneumonia detection.
Model Features
High Accuracy
Achieves 97.83% accuracy on the test set
Educational Purpose
Designed for deep learning courses, suitable for teaching purposes
PyTorch-based
Implemented using the PyTorch Lightning framework
Model Capabilities
Medical Image Classification
Pneumonia Detection
Use Cases
Medical Diagnosis
Chest X-ray Analysis
Used to analyze chest X-rays and detect signs of pneumonia
Accuracy reaches 97.83%
Education
Deep Learning Teaching
Serves as a teaching case in university courses to demonstrate image classification applications
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