Weakly-supervised cerebrovascular segmentation network with shape prior and model indicator
Labeling cerebral vessels requires domain knowledge in neurology and could be extremely
laborious, and there is a scarcity of public annotated cerebrovascular datasets. Traditional …
laborious, and there is a scarcity of public annotated cerebrovascular datasets. Traditional …
Cerebrovascular segmentation from TOF-MRA based on multiple-U-net with focal loss function
Abstract Background and Objective Accurate cerebrovascular segmentation plays an
important role in the diagnosis of cerebrovascular diseases. Considering the complexity and …
important role in the diagnosis of cerebrovascular diseases. Considering the complexity and …
FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA
Purpose Cerebrovascular segmentation and quantification of vascular morphological
features in humans and rhesus monkeys are essential for prevention, diagnosis, and …
features in humans and rhesus monkeys are essential for prevention, diagnosis, and …
Connectivity-based Cerebrovascular Segmentation in Time-of-Flight Magnetic Resonance Angiography
Accurate segmentation of cerebrovascular structures from Time-of-flight magnetic resonance
angiography is vital for treating cerebrovascular diseases. However, existing methods rely …
angiography is vital for treating cerebrovascular diseases. However, existing methods rely …
Cerebrovascular segmentation in phase-contrast magnetic resonance angiography by a Radon projection composition network
W Weng, H Ding, J Bai, W Zhou, G Wang - Computerized Medical Imaging …, 2023 - Elsevier
Cerebrovascular segmentation based on phase-contrast magnetic resonance angiography
(PC-MRA) provides patient-specific intracranial vascular structures for neurosurgery …
(PC-MRA) provides patient-specific intracranial vascular structures for neurosurgery …
An image segmentation fusion algorithm based on density peak clustering and Markov random field
Image segmentation is a crucial task in the field of computer vision. Markov random fields
(MRF) based image segmentation method can effectively capture intricate relationships …
(MRF) based image segmentation method can effectively capture intricate relationships …
计算机辅助血管介入技术进展综述.
李娜， 贺建安， 陈阳， 周寿军 - Journal of Computer-Aided …, 2022 - search.ebscohost.com
血管类疾病是人类健康的重大威胁. 血管介入诊疗作为常用的微创手术面临多种临床负担,
亟需计算机辅助技术的支撑. 近年来, 血管外和血管内的医学影像技术与人工智能方法的快速 …
亟需计算机辅助技术的支撑. 近年来, 血管外和血管内的医学影像技术与人工智能方法的快速 …
Automated morphologic analysis of intracranial and extracranial arteries using convolutional neural networks
Objective: To develop an automated method for 3D magnetic resonance (MR) vessel wall
image analysis to facilitate morphologic quantification of intra-and extracranial arteries …
image analysis to facilitate morphologic quantification of intra-and extracranial arteries …
基于改进UNet 的MRA 脑血管图像分割方法研究.
马力， 苏逸飞， 陶震寰， 殷伟东… - Chinese Medical …, 2023 - search.ebscohost.com
目的院为了提高磁共振血管成像(magnetic resonance angiography, MRA)
脑血管图像分割的准确性, 提出一种基于改进UNet 的MRA 脑血管图像分割方法. 方法院首先 …
脑血管图像分割的准确性, 提出一种基于改进UNet 的MRA 脑血管图像分割方法. 方法院首先 …