Related references
Note: Only part of the references are listed.Is Computed Tomography Airway Count Related to Asthma Severity and Airway Structure and Function?
Rachel L. Eddy et al.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (2020)
Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net
Jihye Yun et al.
MEDICAL IMAGE ANALYSIS (2019)
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks
Yulei Qin et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT VI (2019)
Tubular Structure Segmentation Using Spatial Fully Connected Network with Radial Distance Loss for 3D Medical Images
Chenglong Wang et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT VI (2019)
Bronchus Segmentation and Classification by Neural Networks and Linear Programming
Tianyi Zhao et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT VI (2019)
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans
Anne-Marie Rickmann et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT II (2019)
Total Airway Count on Computed Tomography and the Risk of Chronic Obstructive Pulmonary Disease Progression Findings from a Population-based Study
Miranda Kirby et al.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (2018)
Focal Dice Loss and Image Dilation for Brain Tumor Segmentation
Pei Wang et al.
DEEP LEARNING IN MEDICAL IMAGE ANALYSIS AND MULTIMODAL LEARNING FOR CLINICAL DECISION SUPPORT, DLMIA 2018 (2018)
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound
Yan Wang et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT IV (2018)
Improving airway segmentation in computed tomography using leak detection with convolutional networks
Jean-Paul Charbonnier et al.
MEDICAL IMAGE ANALYSIS (2017)
3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels
Dakai Jin et al.
MACHINE LEARNING IN MEDICAL IMAGING (MLMI 2017) (2017)
A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT
Ziyue Xu et al.
MEDICAL IMAGE ANALYSIS (2015)
Navigated Bronchoscopy A Technical Review
Pall J. Reynisson et al.
JOURNAL OF BRONCHOLOGY & INTERVENTIONAL PULMONOLOGY (2014)
Automatic Airway Analysis on Multidetector Computed Tomography in Cystic Fibrosis Correlation With Pulmonary Function Testing
Mark O. Wielpuetz et al.
JOURNAL OF THORACIC IMAGING (2013)
Robust Airway Extraction based on Machine Learning and Minimum Spanning Tree
Tsutomu Inoue et al.
MEDICAL IMAGING 2013: COMPUTER-AIDED DIAGNOSIS (2013)
Extraction of Airways From CT (EXACT'09)
Pechin Lo et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2012)
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Public Database of CT Scans for Lung Nodule Analysis
S. Armato et al.
MEDICAL PHYSICS (2010)
Tissue classification based on 3D local intensity structures for volume rendering
Y Sato et al.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2000)