young-stefan Goto Github PK

cnn_p300

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19-detection

The implementation of "A Weakly-supervised Framework for COVID-19 Classification and Lesion Localization from Chest CT"

covid-20

Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-Ray Images

covid-next-pytorch

COVID-Next -> Pytorch upgrade of the COVID-Net for COVID-19 detection in X-Ray images

cpd

Code of Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (CVPR2019)

ct_lung_segmentation

Lung segmentation from CT images

dataset

医学影像数据集列表

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

improved-gan

Code for the paper "Improved Techniques for Training GANs"

infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

keras-retinanet

Keras implementation of RetinaNet object detection.

miscnn

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

pre-trained-eeg-for-deep-learning

Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder (IEEE Access)

raunet-tumor-segmentation

residual attention unet for tumor segmentation (liver and brain)

reading-list

Reading list on deep learning

sleep_stage_classification

ta-net

TA-Net: Better Feature Selection, Better Tumor Segmentation