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3dfasterrcnn_lungnoduledetector

3dunetcnn

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

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awesome-action-recognition

A curated list of action recognition and related area resources

cascaded-fcn

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

clustering-with-deep-learning

Generic implementation for clustering with deep learning : representation learning (DNN) + clustering

cnn-ms-lesion-segmentation

MS lesion segmentation using cascaded 3D convolutional neural networks

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

dsb17_3d_lung_nodule_classifier

3d convnet for the classification of nodules/tumor in lung CT scans. Trained on Luna16 for Kaggle's 2017 data science bowl competition (result in top 3%)

handong1587.github.io

img2vec

:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image

kaggle-lung-cancer

Kaggle Data Science Bowl 2017

kaggle_ndsb2017

Kaggle datascience bowl 2017

liverseg-2017-nipsws

Detection-aided Liver Lesion Segmentation

pulmonary-nodules-maskrcnn

Mask R-CNN for Pulmonary Nodules Diagnosis, using TensorFlow 天池医疗AI大赛：Mask R-CNN肺部结节智能检测（Segmentation + Classification）

pulmonary-nodules-segmentation

Tianchi medical AI competition [Season 1]: Lung nodules image segmentation of U-Net. U-Net训练基于卷积神经网络的肺结节分割器

pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

ternausnet

UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

vision

Datasets, Transforms and Models specific to Computer Vision