Easy lung X-Ray Segmentation with U-Net | Step-by-Step Tutorial

This tutorial provides a step-by-step guide on how to implement and train a UNet model for lungs detection using TensorFlow and Keras.

🔍 What You'll Learn 🔍:

Building Unet model : Learn how to construct the model using TensorFlow and Keras.

Model Training: We'll guide you through the training process, optimizing your model to generate masks in the lungs position

Testing and Evaluation: Run the pre-trained model on a new fresh images , and visual the test image next to the predicted mask .

Code for this video: https://github.com/feitgemel/TensorFlowProjects/tree/master/Unet-Projects/Lung%20Segmentation

00:00 Intro !!!!!!!
00:56 The Res-U-net architecture
06:09 Build The Res-U-net model
15:25 Train the model 
23:02 Test the model with new fresh images

 ~~~~~~~~~~~~~~~ recommended courses and books ~~~~~~~~~~~~~~~
A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V 
I also recommend this book, https://amzn.to/44GnlLW : "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners ".
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