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Brain Tumor Detector Swin
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Brain Tumor Detector Swin
Developed by Devarshi
A brain tumor detection model based on Swin Transformer architecture, excelling in image classification tasks
Downloads 13
Release Time : 11/7/2022
Model Overview
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k, specifically designed for brain tumor image classification tasks, achieving near-perfect performance metrics on the evaluation set.
Model Features
High-precision Classification
Achieves 99.8% accuracy in brain tumor image classification tasks
Based on Swin Transformer
Utilizes the advanced Swin Transformer architecture, suitable for visual tasks
Comprehensive Evaluation Metrics
Provides multi-dimensional evaluations including accuracy, F1 score, recall, and precision
Model Capabilities
Medical Image Analysis
Brain Tumor Detection
Image Classification
Use Cases
Medical Diagnosis
Brain Tumor Screening
Assists doctors in preliminary screening for brain tumors
99.8% accuracy effectively reduces missed diagnoses and misdiagnoses
Medical Image Analysis
Analyzes tumor features in medical images such as MRI
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