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Vit Base Patch16 224 In21k Lung Cancer
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Vit Base Patch16 224 In21k Lung Cancer

Developed by MadhuG
This model is a fine-tuned version based on Google's ViT (Vision Transformer) architecture on an unknown dataset, potentially for lung-related image analysis tasks.
Image Classification
Transformers
Open Source License:Apache-2.0#Lung cancer detection#Medical image analysis#Vision Transformer
Downloads 28
Release Time : 11/29/2022

Model Overview

This is a computer vision model based on the Vision Transformer architecture, fine-tuned for potential use in lung-related medical image analysis. The model is fine-tuned from the google/vit-base-patch16-224-in21k pre-trained model.

Model Features

Based on Vision Transformer architecture
Utilizes advanced Transformer architecture for visual tasks with powerful feature extraction capabilities
Medical image analysis
Potentially optimized for lung-related medical images (inferred from model name)
Transfer learning
Fine-tuned from a pre-trained model, suitable for specialized applications with limited data

Model Capabilities

Image classification
Medical image analysis
Feature extraction

Use Cases

Medical imaging
Lung disease identification
Potentially used for classification analysis of lung CT or X-ray images
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