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.
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You can find more Tensorflow that include Unet tutorials here : https://www.youtube.com/playlist?list=PLdkryDe59y4Ze9_12JhWu3cs-lOGYwYeD
Check out our tutorial here : https://youtu.be/5inxPSZz7no&list=UULFTiWJJhaH6BviSWKLJUM9sg
Enjoy
Eran