Efficient autonomous lumen segmentation in intravascular optical coherence tomography images: Unveiling the potential of polynomial-regression convolutional neural network

Efficient autonomous lumen segmentation in intravascular optical coherence tomography images: Unveiling the potential of polynomial-regression convolutional neural network

Objectives: Intravascular optical coherence tomography (IVOCT) is a crucial micro-resolution imaging modality used to assess the internal structure of blood vessels. Lumen segmentation in IVOCT images is vital for measuring the location and the extent of vessel blockages and for guiding percutaneous...

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Main Authors: Lau, Yu Shi, Tan, Li Kuo, Chee, Kok Han, Chan, Chow Khuen, Liew, Yih Miin
Format: Article
Published: ELSEVIER SCIENCE INC 2024
Subjects:
R Medicine
Medical technology
Online Access:http://eprints.um.edu.my/44276/
https://doi.org/10.1016/j.irbm.2023.100814
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Institution: Universiti Malaya

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http://eprints.um.edu.my/44276/
https://doi.org/10.1016/j.irbm.2023.100814

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