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Harshi2303/
tb-cnn-model

Name: tb-cnn-model
Availability: InStock

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Tuberculosis (TB) Detection CNN Model

🎯 Project Overview

This model is a Deep Learning classifier designed to detect Tuberculosis from chest X-ray images. It was developed as part of a mission to provide automated diagnostic support in healthcare.

🚀 Key Features

Architecture: Convolutional Neural Network (CNN)
Framework: TensorFlow / Keras
Input Size: 224x224 (RGB)
Task: Binary Classification (Normal vs. TB)

📊 Performance

The model has been trained to distinguish between healthy lungs and those showing signs of TB infection with high precision.

Loss Function: Binary Crossentropy
Optimizer: Adam

🛠️ How to Use

You can load this model directly in your Python environment using:

python

from tensorflow.keras.models import load_model
import hf_hub_download

model_path = hf_hub_download(repo_id="Harshi2303/tb-cnn-model", filename="tb_cnn_model.h5")
model = load_model(model_path)