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3d-convnets-for-action-recognition

3D ConvNets for Action Recognition with Keras (3d ResNet, 3d DenseNet, 3d Inception, C3D, 3d dense resnet)

aanet-cad-pe

AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images, MICCAI2022

ai-deep-learning-lab-2021

Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging. Paper: Transformers in medical imaging: A survey

benchmd

paper BenchMD: A Benchmark for Unified Learning on Medical Images and Sensors

book_deeplearning_in_pytorch_source

cad_pe

using RSNA PE dataset

classify-modality

Craig Macfadyen Masters Dissertation Project at the University of St Andrews. Classification of Hyper-scale Multimodal Imaging Datasets

classifying-non-small-cell-lung-cancer-stage

Models for classifying pathological stage of non-small-cell lung cancer

cnn

CNN to detect lung cancer

cnncancer

lung cancer pathological image analyzer based on convolutional autoencoder

concept-to-clinic

ALCF Concept to Clinic Challenge

cox_amil

Code for our BVM workshop submission "Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays"

ct-image-segmentation-for-pulmonary-embolism

UNet series network architectures (UNet, R2UNet, Attention UNet, Nested UNet, Tiny UNet etc.), combined with joint training of YOLO and other networks

ct_kernel_conversion

paper Deep Learning–based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses

cvn-pulmonary-embolism

3rd year project at CentraleSupélec with the CVN (Centre de Vision Numérique) about pulmonary embolism detection.

cvpr2019

cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

data-science-bowl-2017

Kaggle Data Science Bowl 2017 solution

datasciencebowl2017_7th_place

deep_lung_segmentation

Deep Learning Lung Segmentation

deeplung

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

deeplung-1

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

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation

deeppath

Classification of Lung cancer slide images using deep-learning

deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

dl-rt-segmention

Clinical validation of the DL-RT segmention Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study

dsb-2017

Data Science Bowl 2017

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%)

dsb2017

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