Adaptive sensitivity-fisher regularization for heterogeneous transfer learning of vascular segmentation in laparoscopic videos [0.03%]
自适应敏感性-Fisher正则化在腹腔镜视频血管分割中的异构迁移学习中的应用
Xinkai Zhao,Yuichiro Hayashi,Masahiro Oda et al.
Xinkai Zhao et al.
Purpose: This study aims to enhance surgical safety by developing a method for vascular segmentation in laparoscopic surgery videos with limited visibility. We introduce an adaptive sensitivity-fisher regularization (ASFR...
Vascular segmentation of functional ultrasound images using deep learning [0.03%]
基于深度学习的功能超声图像血管分割技术
Hana Sebia,Thomas Guyet,Mickaël Pereira et al.
Hana Sebia et al.
Segmentation of medical images is a fundamental task with numerous applications. While MRI, CT, and PET modalities have significantly benefited from deep learning segmentation techniques, more recent modalities, like functional ultrasound (...
Multi-stage generative adversarial network model for segmenting retinal vascular structures in eye disease prediction [0.03%]
一种基于多阶段生成对抗网络的眼底血管分割模型用于眼病预测
Roshan S Bhanuse,Ganesh Yenurkar,Kavita R Singh et al.
Roshan S Bhanuse et al.
Retinal vessel segmentation is essential for precise ophthalmological diagnoses, particularly in the prediction of retinal degenerative diseases. However, existing methods usually lack robustness and accuracy, especially in segmentation of ...
A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts [0.03%]
一个新的数据集：在分布变化下衡量血管分割方法性能的方法
Matheus Viana da Silva,Natália de Carvalho Santos,Julie Ouellette et al.
Matheus Viana da Silva et al.
Creating a dataset for training supervised machine learning algorithms can be a demanding task. This is especially true for blood vessel segmentation since one or more specialists are usually required for image annotation, and creating grou...
RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation [0.03%]
旋转和尺度等变傅里叶参数化卷积的视网膜血管分割方法(RSFC)
Zihong Sun,Hong Wang,Qi Xie et al.
Zihong Sun et al.
Retinal vessel segmentation is of great clinical significance for the diagnosis of many eye-related diseases, but it is still a formidable challenge due to the intricate vascular morphology. With the skillful characterization of the transla...
Comprehensive full-vessel segmentation and volumetric plaque quantification for intracoronary optical coherence tomography using deep learning [0.03%]
基于深度学习的冠状动脉光学相干断层扫描技术在血管全段分割和斑块容积量化中的应用
Rick H J A Volleberg,Ruben G A van der Waerden,Thijs J Luttikholt et al.
Rick H J A Volleberg et al.
Aims: Intracoronary optical coherence tomography (OCT) provides detailed information on coronary lesions, but interpretation of OCT images is time-consuming and subject to interobserver variability. The aim of this study ...
MSPDD-net: Mamba semantic perception dual decoding network for retinal image vessel segmentation [0.03%]
一种基于蟒蛇视觉感知的双解码网络视网膜血管分割方法
Daxiang Li,Miao Su,Ying Liu
Daxiang Li
In the Retinal Image Vessel (RIV) segmentation task, due to existing a large number of low-contrast capillaries in the image usually leads to the problem of poor segmentation accuracy. To address this issue, this study aims to fully model t...
Artificial intelligence based pulmonary vessel segmentation: an opportunity for automated three-dimensional planning of lung segmentectomy [0.03%]
基于人工智能的肺血管分割：自动三维规划肺段切除的机会
Quinten J Mank,Abdullah Thabit,Alexander P W M Maat et al.
Quinten J Mank et al.
Objectives: This study aimed to develop an automated method for pulmonary artery and vein segmentation in both left and right lungs from computed tomography (CT) images using artificial intelligence (AI). The segmentation...
Segmentation of renal vessels on non-enhanced CT images using deep learning models [0.03%]
基于深度学习模型的非增强CT图像肾血管分割
Hai Zhong,Yuan Zhao,Yumeng Zhang
Hai Zhong
Objective: To evaluate the possibility of performing renal vessel reconstruction on non-enhanced CT images using deep learning models. Materials and metho...
Few-shot small vessel segmentation using a detail-preserving network enhanced by discriminator [0.03%]
基于判别器增强的细节保留网络的少样本小血管分割方法
Yan Huang,Jinzhu Yang,Qi Sun et al.
Yan Huang et al.
Accurate segmentation of small vessels, such as coronary and pulmonary arteries, is crucial for early detection and treatment of vascular diseases. However, challenges persist due to the vessel's small size, complex structures, morphologica...
耗时 0.17206 秒，为您在
48206918
条记录里面共找到 736 篇文章 [XML]