How to Segment Skin Melanoma using Res-Unet

Discussion in 'Python' started by Eran Feit, Sep 13, 2024.

  1. Eran Feit

    Eran Feit Member

    Joined:
    Aug 20, 2022
    Messages:
    60
    Likes Received:
    3
    Trophy Points:
    8
    Gender:
    Male
    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
     

Share This Page

  1. This site uses cookies to help personalise content, tailor your experience and to keep you logged in if you register.
    By continuing to use this site, you are consenting to our use of cookies.
    Dismiss Notice