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Python tips and tricks - 5: Extracting patches from large images and masks for semantic segmentation
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Python tips and tricks - 10: Loading images and masks in the right order for semantic segmentation
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Python tips and tricks - 8: Working with RGB (and Hex) masks for semantic segmentation
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229 - Smooth blending of patches for semantic segmentation of large images (using U-Net)
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Create patches from a big image both sequentially and randomly
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Tips Tricks 25 - Locating objects in large images using template matching
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4.0 - MRI Templates and Masks - Course MRI preprocessing with Python
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How to manipulate images in Python - open, grey-scale, slice, and save modified images.
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Deep learning-based segmentation for biologists - Combining results from U-Net and Mask R-CNN
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Gigapixel Whole-Slide Images Classification using Locally Supervised Learning
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