Automated coronary artery tree segmentation in coronary CTA using a multiobjective clustering and toroidal model-guided tracking method

H Du, K Shao, F Bao, Y Zhang, C Gao, W Wu… - Computer Methods and …, 2021 - Elsevier
Background and objective Accurate coronary artery tree segmentation can now be
developed to assist radiologists in detecting coronary artery disease. In clinical medicine …

Automatic skin lesion area determination of basal cell carcinoma using optical coherence tomography angiography and a skeletonization approach: Preliminary …

KM Meiburger, Z Chen, C Sinz, E Hoover… - Journal of …, 2019 - Wiley Online Library
Cutaneous blood flow plays a key role in numerous physiological and pathological
processes and has significant potential to be used as a biomarker to diagnose skin diseases …

3D Indoor Scene Reconstruction and Layout Based on Virtual Reality Technology and Few‐Shot Learning

H Li - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Indoor three‐dimensional layout has a strong application background, such as virtual office
three‐dimensional layout planning, museum three‐dimensional layout planning, and cave …

Automated mini-platform with 3-D printed paper microstrips for image processing-based viscosity measurement of biological samples

SB Puneeth, N Munigela… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Several miniaturized viscometers, or microviscometers, have been developed exploiting
numerous rapid prototyping techniques. Among them, paper microstrips, famously known as …

Pipeline for automated processing of clinical cone-beam computed tomography for patient-specific temporal bone simulation: Validation and clinical feasibility

SAW Andersen, B Hittle, JP Keith, KA Powell… - Otology & …, 2023 - journals.lww.com
Objective Patient-specific simulation allows the surgeon to plan and rehearse the surgical
approach ahead of time. Preoperative clinical imaging for this purpose requires time …

Abdominal vessel segmentation using vessel model embedded fuzzy C-means and similarity from CT angiography

S Ma, C Feng, J Yang, Q Sun, Y Yuan, Y Huang… - Medical & Biological …, 2022 - Springer
The accurate abdominal vessel segmentation of CT angiography (CTA) data is essential for
diagnosis and surgical planning. However, accurate abdominal vessel segmentation is a …

Simultaneous intracranial artery tracing and segmentation from magnetic resonance angiography by joint optimization from multiplanar reformation

L Chen, G Wang, N Balu, M Mossa-Basha… - Machine Learning and …, 2019 - Springer
Abstract Time-of-flight (TOF) Magnetic Resonance Angiography (MRA) is a useful imaging
technique which reflects blood flow and vasculature information. However, due to the low …

Method for Finding the Limits of Blood Vessel Landmarks in Eye Fundus Images Based on Distances in Graphs: Preliminary Results

M Patašius, J Šimkienė, D Sokas… - … Conference on Medical …, 2020 - Springer
The paper proposes a method to process blood vessel landmarks in eye fundus images.
The proposed method is based on finding a shortest cycle in a weighted graph …

Implementazione di un algoritmo automatico per il tracking 3D di strutture vascolari ramificate= Implementation of an automatic 3D tracking algorithm for branched …

R D'Arienzo - 2019 - webthesis.biblio.polito.it
L'estrazione dei vasi sanguigni da immagini mediche è di grande interesse poiché l'analisi
della struttura vascolare è cruciale per la diagnosi, la pianificazione e l'esecuzione dei …