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Spatial

Image

Preprocessing

  1. Keras Documentation on Preprocessing. https://keras.io/preprocessing/image/

Learning

  1. Understanding Semantic Segmentation with UNET. https://towardsdatascience.com/understanding-semantic-segmentation-with-unet-6be4f42d4b47

Repositories

  1. Attention Gated Networks (Attention U-net). https://github.com/ozan-oktay/Attention-Gated-Networks
  2. Yog AI. https://github.com/smellslikeml/YogAI
  3. AR-Cut-Paste. https://github.com/cyrildiagne/ar-cutpaste

Research Paper

  1. U-Net: Convolutional Networks for Biomedical Image Segmentation. https://arxiv.org/pdf/1505.04597.pdf
  2. Fully Convolutional Networks for Semantic Segmentation. https://arxiv.org/pdf/1411.4038.pdf
  3. A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation. https://paperswithcode.com/paper/a-novel-focal-tversky-loss-function-with#code
  4. Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun. Deep Residual Learning for Image Recognition . https://arxiv.org/abs/1512.03385

Filtering

  1. Image Filtering

Great description of Pooling and convolution operations. This website also describes the concept of Denoising the Image based on the size of the Filter and the number of Convolutions.