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2d-lung-nodule-classification-with-deep-learning

With this code, we manage to accurately classify lung nodule images of 32x32 size, utilising Convolutional Neural Networks

awesome-fast-attention

list of efficient attention modules

complex-yolov4-pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

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"

dsb17-walkthrough

An end-to-end walkthrough of the winning submission by grt123 for the Kaggle 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

The solution of team 'grt123' in DSB2017

dtcnn_elm_lnd

Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT images

g-darknet

darknet with GIoU

i3dr-net-transfer-learning

Implementation code for "Lung Nodule Detection and Classification from Thorax CT-Scan Using RetinaNet with Transfer Learning" (2020)

isbi2018-diagnostic-classification-of-lung-nodules-using-3d-neural-networks

Network Architecture for the ISBI_2018 paper : DIAGNOSTIC CLASSIFICATION OF LUNG NODULES USING 3D NEURAL NETWORKS

lidc-binary-classification

This repository contains code to pre-process the LIDC-IDRI dataset of CT-scans with pulmonary nodules into a binary classification problem, easy to use for learning deep learning

local-global

Official implementation of Lung Nodule Classification using Deep Local-Global Networks using PyTorch

luna16_challange

Lung nodule classification / False positives reduction track codes

lung-ct-fastai-2020

Code to reproduce the results in "Pulmonary nodule classification in lung cancer from 3D thoracic CT scans"

lungnoduledetectionclassification

Automated Extraction and Classification of Pulmonary Lung Nodules from CT Scans

lungsystem

Lung cancer detection ,nodule dection and classification System using deep learning

medical-3d-voxel-classification

This is a classification of lung nodules using pytorch, it is the final project of SJTU-EE228.

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mtmr-net

Code for 《Multi-Task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis》

multi-scale-attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

multi-view-extraction-of-3d-lung-nodules

Partial Implementation of a Paper named 'Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT '

mvkbc-model-for-lung-nodule-classification

nas-lung

3D NAS for Pulmonary Nodules Classification

nodulex_code

Supporting code for the paper "Highly accurate model for prediction of lung nodule malignancy with CT scans".

pytorch_3dcnn_lung

Implementation of AIFT algorithm for lung nodule classification

resnest

ResNeSt: Split-Attention Networks

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks