mengluffy

mengluffy's Stars

• ellisdg/3DUnetCNN

  Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

  Language:Python2k56288654

• zsdonghao/u-net-brain-tumor

  U-Net Brain Tumor Segmentation

  Language:Python5153159182

• taigw/brats17

  Brain tumor segmentation for MICCAI 2017 BraTS challenge

  Language:Python3241840129

• sergivalverde/MRI_intensity_normalization

  Intensity normalization of multi-channel MRI images using the method proposed by Nyul et al. 2000

  Language:Jupyter Notebook582017

• sergivalverde/nicMSlesions

  Easy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.

  Language:C++4752521

• sergivalverde/cnn-ms-lesion-segmentation

  MS lesion segmentation using cascaded 3D convolutional neural networks

  Language:Python42111124

• inayatkh/tensorflowCNNfromTrainingToTesting

  This is a very Simple example of showing how to build image dataset from your own collection of images, how to train multiple class classifier using tensorflow CNN and how to predict the class of an object in an unseen image. This code is designed so that a newbie user become able to train a tensorflow CNN model using his limited CPU resources. By loading small batches of images in the HDF5 data format is the key for doing so.

  Language:Python20217

• e271141/BRATS

  Brain Tumor Segmentation

  Language:Python10327