Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT Yulei Qin IEEE Transactions on Medical Imaging 2021 Abstract
训练卷积神经网络(CNNs)分割肺气道、动脉和静脉具有挑战性,因为管状目标和背景之…
颈动脉粥状硬化动脉三维重建
基于椭圆特征的改进模板匹配在B超图像颈动脉三维重建中的应用—3D reconstruction of carotid artery in B-mode ultrasound image using modified template matching based on ellipse feature
来源:MICCA 2020
作者:Mad…
论文阅读——TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification 基于对抗神经网络的拓扑排序的三重损失函数用于视网膜血管动静脉分类分割 From MICCAI2020 腾讯天衍实验室
Abstract
视网膜动静脉分割是视网膜血管定量分析的基础&…
Learning tree-structured representation for 3D coronary artery segmentation(2019.8)
摘要
冠状动脉的分割已经进行了广泛的研究,然而,由于其复杂的解剖结构,从三维冠状动脉ct血管造影(CCTA)中自动分割冠状动脉具…
github 地址: GitHub - BubblyYi/Coronary-Artery-Tracking-via-3D-CNN-Classification: The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: Coronary artery centerline e…