Imperial College London
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DrGuangYang

Faculty of Engineering, Department of Bioengineering

Senior Lecturer
 
 
 
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Contact

 

g.yang Website

 
 
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Location

 

229Sir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Li:2022:10.1016/j.compbiomed.2022.106241,
author = {Li, H and Tang, Z and Nan, Y and Yang, G},
doi = {10.1016/j.compbiomed.2022.106241},
journal = {Computers in Biology and Medicine},
title = {Human treelike tubular structure segmentation: A comprehensive review and future perspectives},
url = {http://dx.doi.org/10.1016/j.compbiomed.2022.106241},
volume = {151},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Various structures in human physiology follow a treelike morphology, which often expresses complexity at very fine scales. Examples of such structures are intrathoracic airways, retinal blood vessels, and hepatic blood vessels. Large collections of 2D and 3D images have been made available by medical imaging modalities such as magnetic resonance imaging (MRI), computed tomography (CT), Optical coherence tomography (OCT) and ultrasound in which the spatial arrangement can be observed. Segmentation of these structures in medical imaging is of great importance since the analysis of the structure provides insights into disease diagnosis, treatment planning, and prognosis. Manually labelling extensive data by radiologists is often time-consuming and error-prone. As a result, automated or semi-automated computational models have become a popular research field of medical imaging in the past two decades, and many have been developed to date. In this survey, we aim to provide a comprehensive review of currently publicly available datasets, segmentation algorithms, and evaluation metrics. In addition, current challenges and future research directions are discussed.
AU  - Li,H
AU  - Tang,Z
AU  - Nan,Y
AU  - Yang,G
DO  - 10.1016/j.compbiomed.2022.106241
PY  - 2022///
SN  - 0010-4825
TI  - Human treelike tubular structure segmentation: A comprehensive review and future perspectives
T2  - Computers in Biology and Medicine
UR  - http://dx.doi.org/10.1016/j.compbiomed.2022.106241
UR  - http://hdl.handle.net/10044/1/101024
VL  - 151
ER  -
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