V

Vit Mlo 512 Birads

Developed by mm-ai
An image classification model based on the Vision Transformer architecture, fine-tuned for BIRADS classification tasks
Downloads 37
Release Time : 2/28/2023

Model Overview

This model is a fine-tuned version of Vision Transformer on the preprocessed 1024 configuration dataset, primarily used for BIRADS classification tasks in medical imaging.

Model Features

Medical Image Classification
A Vision Transformer model specifically optimized for BIRADS classification tasks
Medium-Scale Model
Based on the 512-size ViT architecture, balancing performance and computational efficiency

Model Capabilities

Medical Image Analysis
BIRADS Classification
Mammography Image Processing

Use Cases

Medical Imaging
Mammography Image Classification
Performing BIRADS classification on mammography images
Achieved 46.67% accuracy on the evaluation set
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