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Resnet 18 MRI Brain
A brain MRI image classification model based on ResNet18 architecture for cancer detection
Downloads 38
Release Time : 5/28/2024
Model Overview
This model is a fine-tuned ResNet18 model specifically designed for brain magnetic resonance imaging (MRI) classification tasks, capable of identifying cancer-related features.
Model Features
High Accuracy
Achieves 97.9% accuracy on the validation set
Specialized Medical Image Analysis
Optimized specifically for brain MRI images, suitable for cancer detection scenarios
Stable Training
No overfitting observed during 200 epochs of training
Model Capabilities
Brain MRI image classification
Cancer feature recognition
Medical image analysis
Use Cases
Medical Diagnosis
Early Brain Cancer Screening
Assists doctors in early brain cancer diagnosis through MRI image analysis
97.9% validation accuracy
Medical Image Analysis
Automatically identifies abnormal features in MRI images
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