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deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplung

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

dense3dcrf

Fully-connected (dense) 3D CRF for processing biomedical scans

denseinferencewrapper

A python wrapper for Krähenbühls dense CRF for medical image volumes.

depth-map-prediction-from-a-single-image-using-a-multi-scale-deep-network

PyTorch implementation of the paper

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dff

Code for Dynamic Feature Fusion for Semantic Edge Detection https://arxiv.org/abs/1902.09104

dicomtoolboxmatlab

Import, visualize, and extract image features from CT and RT Dose DICOM files in MATLAB.

dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

efficientdet.pytorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

elastic-boundary-projection

Implementation of EBP - CVPR 2019

emanet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fgf-

focal-tversky-unet

This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.

fusionnet-pytorch

FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

grad-cam-pytorch

PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps

h-denseunet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

hello-world

hyperdensenet

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

jihong19960202

kits19-challenge

Kidney Tumor Segmentation Challenge 2019

kornia

Open Source Differentiable Computer Vision Library for PyTorch

livianet

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

loss-family

Some classical and cutting-edge loss in semantic segmentation task

medicaldataaugmentationtool