Graph confidence intercalibration network for intracranial aneurysm lesion instance segmentation in DSA

Intracranial aneurysm (IA) lesion segmentation is significant for its treatment and prognosis. Although exiting deep network-based instance methods have good IA lesion segmentation results based on digital subtraction angiography (DSA) images, they still face great challenges with instance confidenc...

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Bibliographic Details
Main Authors: Haili Ye, Yancheng Mo, Chen Tang, Mingqian Liao, Xiaoqing Zhang, Limeng Dai, Baihua Li, Jiang Liu
Format: Default Article
Published: 2024
Subjects:
Engineering
Electronics, sensors and digital hardware
Information and computing sciences
Computer vision and multimedia computation
Graphics, augmented reality and games
Information systems
Applied Physics
Intracranial aneurysm
Instance segmentation
Graph confidence intercalibration
Edge space perception module
DSA image
Online Access:https://hdl.handle.net/2134/28082387.v1
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https://hdl.handle.net/2134/28082387.v1

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