Deep-Learning-Based Cerebral Artery Semantic Segmentation in Neurosurgical Operating Microscope Vision Using Indocyanine Green Fluorescence Videoangiography

Deep-Learning-Based Cerebral Artery Semantic Segmentation in Neurosurgical Operating Microscope Vision Using Indocyanine Green Fluorescence Videoangiography

There have been few anatomical structure segmentation studies using deep learning. Numbers of training and ground truth images applied were small and the accuracies of which were low or inconsistent. For a surgical video anatomy analysis, various obstacles, including a variable fast-changing view, l...

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Bibliographic Details
Main Authors: Min-seok Kim, Joon Hyuk Cha, Seonhwa Lee, Lihong Han, Wonhyoung Park, Jae Sung Ahn, Seong-Cheol Park
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Neurorobotics
Subjects:
semantic segmentation
neural network
blood vessel
indocyanine green
neurosurgical field
computer vision
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2021.735177/full

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https://www.frontiersin.org/articles/10.3389/fnbot.2021.735177/full

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