Lymphatic vessel segmentation in optical coherence tomography by adding U-Net-based CNN for artifact minimization

Pei Yu Lai, Chung Hsing Chang, Hong Ren Su, Wen Chuan Kuo*

*此作品的通信作者

研究成果: Article同行評審

6 引文 斯高帕斯(Scopus)

摘要

The lymphatic system branches throughout the body to transport bodily fluid and plays a key immune-response role. Optical coherence tomography (OCT) is an emerging technique for the noninvasive and label-free imaging of lymphatic capillaries utilizing low scattering features of the lymph fluid. Here, the proposed lymphatic segmentation method combines U-Net-based CNN, a Hessian vesselness filter, and a modified intensity-thresholding to search the nearby pixels based on the binarized Hessian mask. Compared to previous approaches, the method can extract shapes more precisely, and the segmented result contains minimal artifacts, achieves the dice coefficient of 0.83, precision of 0.859, and recall of 0.803.

原文English
頁(從 - 到)2679-2693
頁數15
期刊Biomedical Optics Express
11
發行號5
DOIs
出版狀態Published - 1 5月 2020

指紋

深入研究「Lymphatic vessel segmentation in optical coherence tomography by adding U-Net-based CNN for artifact minimization」主題。共同形成了獨特的指紋。

引用此