This tutorial provides a step-by-step guide on how to implement and train a U-Net model for X-Ray lungs segmentation using TensorFlow/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 . You can find link for the code in the blog : https://eranfeit.net/how-to-segment-x-ray-lungs-using-u-net-and-tensorflow/ Full code description for Medium users : https://medium.com/@feitgemel/how-to-segment-x-ray-lungs-using-u-net-and-tensorflow-59b5a99a893f You can find more tutorials, and join my newsletter here : https://eranfeit.net/ Check out our tutorial here : https://youtu.be/-AejMcdeOOM&list=UULFTiWJJhaH6BviSWKLJUM9sg Enjoy Eran #Python #openCV #TensorFlow #Deeplearning #ImageSegmentation #Unet #Resunet #MachineLearningProject #Segmentation
