How do I create segmentation models?
To create segmentation models, you typically start by defining your problem and gathering data. What type of segmentation are you interested in?
I'm interested in image segmentation for medical images.
Great! For medical image segmentation, you can use convolutional neural networks (CNNs). Have you worked with any specific frameworks like TensorFlow or PyTorch?
I have some experience with TensorFlow. What should I do next?
You can start by preparing your dataset, then choose a suitable architecture like U-Net. Would you like guidance on data preparation?
Yes, please! What are the steps for data preparation?
You'll need to annotate your images, split them into training and validation sets, and normalize the pixel values. Do you need help with annotation tools?
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