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This project uses Deep learning concept in detection of Various Deadly diseases. It can Detect 1) Lung Cancer 2) Covid-19 3)Tuberculosis 4) Pneumonia. It uses CT-Scan and X-ray Images of chest/lung in detecting the disease. It has a Accuracy between 50%-80%. It can take input in any Image format or through Live videos and provide accurate output…

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THEGURUJ1/AI-for-Healthcare-Project-using-NVIDIA-Jetson-Nano-2GB-Developer-kit

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AI-for-Healthcare-Project-using-NVIDIA-Jetson-Nano-2GB-Developer-kit

Description

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This project uses Deep learning concept in detection of Various Deadly diseases.

It can Detect 1) Lung Cancer 2) Covid-19 3)Tuberculosis 4) Pneumonia.

It uses CT-Scan and X-ray Images of chest/lung in detecting the disease.

It has a Accuracy between 50%-80%.

It can take input in any Image format or through Live videos and provide accurate output results.

image

Attributions

Using these datasets

Contact

For any query mail at:- abhishekbhandare92@gmail.com

Accessories & Resources

Jetson Developer Kit (2gb kit)
Type C power (5V) supply
Ethernet cable
HDMI Cable
Monitor with HDMI cable
Camera (Logitech C270 HD WEBCAM)
Keyboard & Mouse (wireless)
Memory card (more than 32 GB)
Optional: cooling fan, micro-USB cable(for headless mode)
Jetson-Inference With Docker File: https://github.com/dusty-nv/jetson-inference
Datasets:
CT-Scan:-https://www.kaggle.com/mohamedhanyyy/chest-ctscan-images/download
X-ray:-https://www.kaggle.com/jtiptj/chest-xray-pneumoniacovid19tuberculosis/download

Headings

Model Accuracy

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About

This project uses Deep learning concept in detection of Various Deadly diseases. It can Detect 1) Lung Cancer 2) Covid-19 3)Tuberculosis 4) Pneumonia. It uses CT-Scan and X-ray Images of chest/lung in detecting the disease. It has a Accuracy between 50%-80%. It can take input in any Image format or through Live videos and provide accurate output…

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