Small-object-sensitive deep reinforcement learning for fully automatic 3D vessel segmentation in medical images

Pre-extracted lumen information of 3D vessel in medical images can effectively assist doctors in intraoperative navigation and postoperative evaluation, which has important clinical value. The main challenge faced by fully automatic 3D vessel segmentation comes from the imbalanced proportion of the...

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Vydáno v:	Biomedical physics & engineering express Ročník 12; číslo 1
Hlavní autoři:	Zhao, Jingliang, Lin, Xianyang, Zeng, An, Pan, Dan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England 25.11.2025
Témata:	Algorithms Blood Vessels - diagnostic imaging Deep Learning Humans Image Processing, Computer-Assisted - methods Imaging, Three-Dimensional - methods Neural Networks, Computer Reinforcement Machine Learning medical image segmentation object detection deep reinforcement learning vessel
ISSN:	2057-1976, 2057-1976
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