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Swin Tiny Patch4 Window7 224 Finetuned Braintumordata
Vision model based on Swin Transformer architecture, fine-tuned specifically for brain tumor image analysis
Downloads 11
Release Time : 10/19/2022
Model Overview
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on brain tumor dataset, suitable for medical image classification tasks
Model Features
Specialized for Medical Imaging
Specially fine-tuned for brain tumor image data
Efficient Transformer Architecture
Utilizes Swin Transformer's hierarchical window attention mechanism
Compact Model Size
Tiny version suitable for deployment in resource-constrained environments
Model Capabilities
Medical Image Classification
Brain Tumor Recognition
Image Feature Extraction
Use Cases
Medical Diagnosis
Brain Tumor Screening
Automatically identify tumor regions in medical images
Medical Image Classification
Classify different types of brain tumors
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