nbence90

deepmedic

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

3D_Pose_Estimation

This is the code for "Machine Vision" By Siraj Raval on Youtube

3DFasterRCNN_LungNoduleDetector

CASED-Tensorflow

Simple Tensorflow implementation of "Curriculum Adaptive Sampling for Extreme Data Imbalance" with multi GPU using LUNA16 (MICCAI 2017) / LUNA16 Tutorial

chexnet

Covid-Contact-Tracer

The process of contact tracing involves identifying people confirmed as being infected with the virus as well as identifying persons suspected to have had contact with infected individuals, since they are at high risk of having been infected themselves

Data-Science--Cheat-Sheet

Cheat Sheets

DeepLung

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

dicom2nifti

DSB2017

Code for 2nd place solution to the 2017 National Data Science Bowl

kaggle_dsb2017

Code for 8th place solution to Data Science Bowl 2017 Kaggle Competition

lidc_nodule_detection

lidc nodule detection with CNN and LSTM network

liverseg-2017-nipsws

Detection-aided Liver Lesion Segmentation

Luna2016-Lung-Nodule-Detection

Course Project for Bio Medical Imaging: Detecting Lung Nodules from CT Scans

mask-rcnn.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

maximum_intensity_projection

Maximum intensity projection for medical image

U-Net-PyTorch

U-Net implementation in PyTorch for the LiTS challenge

Vessel3DDL

Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images

xray-ageregression