cnn-segmentation

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

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

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Jupyter Notebook

OniroAI / Semantic-segmentation-with-MobileNetV3

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TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head

docker computer-vision deep-learning neural-network notebook makefile tensorflow cnn segmentation jupyter-notebooks semantic-segmentation loss-functions augmentation cnn-training cnn-segmentation person-segmentation mobilenetv3 cnn-architectures

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Python

chwilms / superpixelRefinement

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

caffe cnn segmentation superpixels object-proposals object-discovery cnn-segmentation icpr2020

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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

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Python

fvilmos / road_segmentation

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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.

semantic-segmentation carla-simulator cnn-segmentation road-segmentation