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3dnet_visualization

Pytorch 3DNet attention feature map Visualization by [Cam](https://arxiv.org/abs/1512.04150)

abir

Codes of ICMR 2019 short paper "Weakly Supervised Image Retrieval via Coarse-scale Feature Fusion and Multi-level Attention Blocks"

action-recognition

Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.

admm-diptv

ADMM-DIPTV: combining Total Variation and Deep Image Prior for image restoration (2020)

adn

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

amp-net_tip

AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing

angiodysplasia-segmentation

Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization

astra-toolbox

ASTRA Tomography Toolbox

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

attentiongatedvnet3d

Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

awesome-eccv2020-low-level-vision

A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction

bag_of_tricks_for_image_classification_with_convolutional_neural_networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

balanced-dataparallel

这里是改进了pytorch的DataParallel, 用来平衡第一个GPU的显存使用量

basic_unet_example

An example project of how to use a U-Net for segmentation on medical images with PyTorch.

books

数学教程-高等数学、概率论与数理统计、线性代数

bowdanet

Source code for BOWDANet

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

breast_density_classifier

Breast density classification with deep convolutional neural networks

cifar-zoo

PyTorch implementation of CNNs for CIFAR dataset (97.71% on cifar10)

cnn-for-tumour-classification

Algorithm based on Convolutional Neural Network (CNN) to classify Computed Tomography scans (CT scans) as containing either malignant or benign tumours

cnn-mar

Convolutional neural network based metal artifact reduction (CNN-MAR) in x-ray computed tomography

cone_angle_artifact_reduction

covid-19-detection

The implementation of "Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label".

covid-ct

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

ct-image-reconstruction

ct_lung_3d_segmentation

3D Segmentation of Lungs from CT Scan Volumes

cvpr2020-code

CVPR 2020 论文开源项目合集

cvwc2019-amur-tiger-re-id

:trophy: Code for 1st Place Soluition in both the Tiger Re-ID in the plain track and Tiger Re-ID in the wild track (CVWC) @ ICCV19 Workshop.

cyclegan_ctdenoising

Low Dose CT Image Denoising Using a Cycle-Consistent Adversarial Networks.

dan-net

A Pytorch implementation of Dual-domain Adaptive-scaling Non-local Network for CT Metal Artifact Reduction.