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cnn-segmentation

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shalabh147 / Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks

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Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.

deep-neural-networks deep-learning medical-imaging segmentation dice-scores keras-tensorflow survival-models dice-coefficient brain-tumor-segmentation unet-3d cnn-segmentation vnet3d survival-prediction glioma mri-segmentation dice-loss brats-dataset aiformedicine unet-architecture
  • Updated Jul 24, 2020
  • Jupyter Notebook

jpviguerasguillen / feedback-non-local-attention-fNLA

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Keras (Tensorflow) code for the manuscript 'DenseUNets with feedback non-local attention for the segmentation of specular images of the corneal endothelium with Fuchs dystrophy'

deep-neural-networks deep-learning medical-imaging attention segmentation unet attention-mechanism resnext keras-tensorflow cnn-segmentation unet-plusplus endothelial-cells unet-plus denseunet resunext non-local-attention denseunet-plus
  • Updated Apr 28, 2022
  • Python

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