Results 61 to 70 of about 17,546 (162)

Medical Segmentation of Kidney Whole Slide Images Using Slicing Aided Hyper Inference and Enhanced Syncretic Mask Merging Optimized by Particle Swarm Metaheuristics

BioMedInformatics
Accurate segmentation of kidney microstructures in whole slide images (WSIs) is essential for the diagnosis and monitoring of renal diseases. In this study, an end-to-end instance segmentation pipeline was developed for the detection of glomeruli and ...
Marko Mihajlovic, Marina Marjanovic
doaj   +1 more source

VesselBoost: A Python Toolbox for Small Blood Vessel Segmentation in Human Magnetic Resonance Angiography Data

Aperture Neuro
Magnetic resonance angiography (MRA) performed at ultra-high magnetic field provides a unique opportunity to study the arteries of the living human brain at the mesoscopic level.
Marshall Xu, Fernanda L. Ribeiro, Markus Barth, Michaël Bernier, Steffen Bollmann, Soumick Chatterjee, Francesco Cognolato, Omer F. Gulban, Vaibhavi Itkyal, Siyu Liu, Hendrik Mattern, Jonathan R. Polimeni, Thomas B. Shaw, Oliver Speck, Saskia Bollmann   +14 more
doaj   +1 more source

Segment‐specific tissue factor expression in mouse lung vasculature

The FASEB Journal, 2012
In acute lung injury (ALI), pro‐coagulant responses remain undefined in extra‐alveolar versus alveolar vascular segments. Since endothelial vWf content is different in these segments, we considered pro‐coagulant responses might also differ. We determined surface expression of the coagulation initiator, tissue factor (TF) in freshly recovered ...
Sunita Bhattacharya, Memet Emin
openaire   +1 more source

Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation

, 2016
Recently there has been an increasing trend to use deep learning frameworks for both 2D consumer images and for 3D medical images. However, there has been little effort to use deep frameworks for volumetric vascular segmentation. We wanted to address this by providing a freely available dataset of 12 annotated two-photon vasculature microscopy stacks ...
Teikari, Petteri, Santos, Marc, Poon, Charissa, Hynynen, Kullervo   +3 more
openaire   +2 more sources

Multi scale multi attention network for blood vessel segmentation in fundus images

Scientific Reports
Precise segmentation of retinal vasculature is crucial for the early detection, diagnosis, and treatment of vision-threatening ailments. However, this task is challenging due to limited contextual information, variations in vessel thicknesses, the ...
Giri Babu Kande, Madhusudana Rao Nalluri, R. Manikandan, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy   +4 more
doaj   +1 more source

Tumor growth and vascular redistribution contributes to the dosimetric preferential effect of microbeam radiotherapy: a Monte Carlo study

Scientific Reports
The radiobiological mechanisms behind the favorable response of tissues to microbeam radiation therapy (MRT) are not fully described yet. Among other factors, the differential action to tumor and normal tissue vasculature is considered to contribute to ...
Ramon Ortiz, José Ramos-Méndez
doaj   +1 more source

AI-Based 3D Segmentation of Pulmonary Vasculature of CTEPH Patients

Chronic thromboembolic pulmonary hypertension (CTEPH) presents challenges for pulmonary artery segmentation due to vascular remodeling, stenosis, and obstructions. This study evaluates a 7-layer dilated convolutional neural network (CNN) with Tversky loss, applied to computed tomography angiography (CTA) images that were preprocessed with image ...
Lungu, A., Swift, A.J., Danciu, A.S., Sharkey, M., Hose, R.D., Malawski, M.   +5 more
openaire   +3 more sources

Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences

Nature Communications
Pulmonary artery-vein segmentation is critical for disease diagnosis and surgical planning. Traditional methods rely on Computed Tomography Pulmonary Angiography (CTPA), which requires contrast agents with potential health risks. Non-contrast CT, a safer
Yuetan Chu, Gongning Luo, Longxi Zhou, Shaodong Cao, Guolin Ma, Xianglin Meng, Juexiao Zhou, Changchun Yang, Dexuan Xie, Dan Mu, Ricardo Henao, Gianluca Setti, Xigang Xiao, Lianming Wu, Zhaowen Qiu, Xin Gao   +15 more
doaj   +1 more source

Towards Fine-grained Renal Vasculature Segmentation: Full-Scale Hierarchical Learning with FH-Seg. [PDF]

Proc SPIE Int Soc Opt Eng
Long Y, Wu Z, Su X, Yu L, Deng R, Yang H, Huo Y.   +6 more
europepmc   +1 more source

Signal Intensity Trajectories Clustering for Liver Vasculature Segmentation and Labeling (LiVaS) on Contrast-Enhanced MR Images: A Feasibility Pilot Study. [PDF]

J Imaging Inform Med
Zecevic M, Hasenstab KA, Wang K, Dhyani M, Cunha GM.   +4 more
europepmc   +1 more source