This tutorial provides a step-by-step guide on how to implement and train a Res-UNet model for skin Melanoma detection and segmentation using TensorFlow and Keras. What You'll Learn : - Building Res-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 distinguish Melanoma from non-Melanoma skin lesions. - Testing and Evaluation: Run the pre-trained model on a new fresh images . Explore how to generate masks that highlight Melanoma regions within the images. Visualizing Results: See the results in real-time as we compare predicted masks with actual ground truth masks. You can find more tutorials, and join my newsletter here : https://eranfeit.net/ Check out our tutorial here : Enjoy Eran #Python #openCV #TensorFlow #Deeplearning #DeepLearningTutorial #Unet #Resunet #MachineLearningProject #Segmentation
