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...

Celý popis

Podrobná bibliografia

Vydané v:	Biomedical physics & engineering express Ročník 12; číslo 1
Hlavní autori:	Zhao, Jingliang, Lin, Xianyang, Zeng, An, Pan, Dan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 25.11.2025
Predmet:	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
On-line prístup:	Zistit podrobnosti o prístupe
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!