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Florence 2 FT Lung Cancer Detection
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Florence 2 FT Lung Cancer Detection

Developed by nirusanan
A lung cancer detection model fine-tuned based on Florence-2-base-ft, identifying lung cancer types through lung images
Text-to-Image
Transformers
 English#Lung Cancer Detection#Medical Image Analysis#High-Precision Diagnosis
Downloads 20
Release Time : 8/14/2024

Model Overview

This model is a visual question answering model fine-tuned from microsoft/Florence-2-base-ft, specifically designed for detecting and classifying lung cancer types through lung CT scan images.

Model Features

High-Precision Lung Cancer Detection
Achieves a test accuracy of 99.17%, efficiently identifying lung cancer types
Medical Image Analysis
Specially optimized for analyzing lung CT scan images
Visual Question Answering Capability
Combines image and text inputs to answer professional questions about lung cancer types

Model Capabilities

Medical Image Analysis
Lung Cancer Type Identification
Visual Question Answering
CT Scan Image Processing

Use Cases

Medical Diagnosis
Lung Cancer Screening
Automatically detects lung cancer through CT scan images
99.17% test accuracy
Lung Cancer Type Classification
Identifies specific types of lung cancer
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