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Any recommendations for learning image segmentation for medical images? I would like to learn how to use a pre-trained Keras model like FCN or U-Net. However, m
by auraham 6y ago
Any recommendations for learning image segmentation for medical images? I would like to learn how to use a pre-trained Keras model like FCN or U-Net. However, most of the resources I've found so far are a bit harder to grasp. Right now, I am reading 'Deep Learning with PyTorch'. The second part of the book covers image segmentation in great detail, but sometimes is too dense. I am familiar with CNNs, convolutions, max pooling, and so on, but not with upscaling and skip connections.
- bertdb 6y agoThat book is great if you want to go in-depth! If you're a practitioner who wants to get to a trained model as quickly as possible, you're probably better of just following a tutorial. The official Keras tutorial on segmentation looks pretty good [1]. We also have a blog post with code samples on how to set up an image segmentation workflow with Segments.ai and Facebook's detectron2 framework [2]. [1] https://keras.io/examples/vision/oxford_pets_image_segmentation/ https://keras.io/examples/vision/oxford_pets_image_segmentat... [2] https://segments.ai/blog/speed-up-image-segmentation-with-model-assisted-labeling https://segments.ai/blog/speed-up-image-segmentation-with-mo...
- auraham 6y agoThanks, your tutorial seems great!
- iujjkfjdkkdkf 6y agoIf you haven't already, take a look at the detectron2 models and tutorials, especially the colab they have. It is a great way to get started. https://github.com/facebookresearch/detectron2 https://github.com/facebookresearch/detectron2
- auraham 6y agoThanks! I was not aware of that model.