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Swin Tiny Patch4 Window7 224 Finetuned Mri
This model is a fine-tuned version based on the Swin Transformer architecture, specifically designed for MRI image classification tasks, achieving an accuracy of 98.07% on the evaluation set.
Downloads 14
Release Time : 6/18/2022
Model Overview
This is a computer vision model based on the Swin Transformer Tiny architecture, fine-tuned specifically for medical MRI image classification tasks.
Model Features
High Accuracy
Achieves 98.07% accuracy on MRI image classification tasks
Based on Swin Transformer
Utilizes the advanced Swin Transformer architecture, suitable for visual tasks
Specialized for Medical Images
Optimized specifically for MRI medical images
Model Capabilities
Medical Image Classification
MRI Image Analysis
Image Feature Extraction
Use Cases
Medical Diagnosis
MRI Image Classification
Classify and identify medical MRI images
Accuracy reaches 98.07%
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