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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Detalles Bibliográficos
Autores principales: Kim, Min-seok, Cha, Joon Hyuk, Lee, Seonhwa, Han, Lihong, Park, Wonhyoung, Ahn, Jae Sung, Park, Seong-Cheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790180/
https://www.ncbi.nlm.nih.gov/pubmed/35095454
http://dx.doi.org/10.3389/fnbot.2021.735177

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790180/
https://www.ncbi.nlm.nih.gov/pubmed/35095454
http://dx.doi.org/10.3389/fnbot.2021.735177

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