$2.00
Link for the tutorial : https://youtu.be/P7DnY0Prb2U
Link for the full post : https://eranfeit.net/medical-melanoma-detection-tensorflow-u-net-tutorial-using-unet/
This tutorial provides a step-by-step guide on how to implement and train a U-Net model for Melanoma detection using TensorFlow/Keras.
🔍 What You'll Learn 🔍:
Data Preparation: We'll begin by showing you how to access and preprocess a substantial dataset of Melanoma images and corresponding masks.
Data Augmentation: Discover the techniques to augment your dataset. It will increase and improve your model's results
Model Building: Build a U-Net, and 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.