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cnn-segmentation

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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.

  • UpdatedJul 24, 2020
  • Jupyter Notebook

Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)

  • UpdatedJan 19, 2022
  • Jupyter Notebook

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'

  • UpdatedApr 28, 2022
  • Python

A small and fast CNN-based segmentation network is used to segment road / vehicles+pedestrians / other objects from the scene. The data collector uses CARLA simulator.

  • UpdatedNov 5, 2022
  • Jupyter Notebook

Assignment 2: CNN for segmenting and classifying melanoma images using Tensorflow and Keras.

  • UpdatedApr 9, 2018
  • Jupyter Notebook

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