Automated vessel segmentation in lung CT and CTA images via deep neural networks

W Tan, L Zhou, X Li, X Yang, Y Chen… - Journal of X-ray …, 2021 - content.iospress.com
BACKGROUND: The distribution of pulmonary vessels in computed tomography (CT) and
computed tomography angiography (CTA) images of lung is important for diagnosing …

Computer techniques for medical image classification: a review

OA Adebisi, SA Ajagbe, JA Ojo… - Intelligent Healthcare …, 2022 - Springer
Medical image reporting and interpretation play a significant role in the diagnosis and
treatment of patients. Its introduction into healthcare systems has improved human health …

Deep learning-based lesion subtyping and prediction of clinical outcomes in COVID-19 pneumonia using chest CT

D Bermejo-Peláez, R San Jose Estepar… - Scientific reports, 2022 - nature.com
The main objective of this work is to develop and evaluate an artificial intelligence system
based on deep learning capable of automatically identifying, quantifying, and characterizing …

Automated deep learning analysis for quality improvement of CT pulmonary angiography

LD Hahn, K Hall, T Alebdi, SJ Kligerman… - Radiology: Artificial …, 2022 - pubs.rsna.org
CT pulmonary angiography (CTPA) is the first-line imaging test for evaluation of acute
pulmonary emboli. However, diagnostic quality is heterogeneous across institutions and is …

Pulmonary arteries segmentation from CT images using PA‐Net with attention module and contour loss

C Yuan, S Song, J Yang, Y Sun, B Yang… - Medical Physics, 2023 - Wiley Online Library
Background: Pulmonary embolism is a kind of cardiovascular disease that threatens human
life and health. Since pulmonary embolism exists in the pulmonary artery, improving the …

Quantitative volumetric computed tomography embolic analysis, the Qanadli score, biomarkers, and clinical prognosis in patients with acute pulmonary embolism

WM Huang, WJ Wu, SH Yang, KT Sung, TC Hung… - Scientific Reports, 2022 - nature.com
Detailed descriptions of acute pulmonary emboli (PE) morphology, total embolic volume
(TEV), and their effects upon patients' clinical presentation and prognosis remain largely …

Automated 3D segmentation of the aorta and pulmonary artery on non-contrast-enhanced chest computed tomography images in lung cancer patients

HJ Wang, LW Chen, HY Lee, YJ Chung, YT Lin… - Diagnostics, 2022 - mdpi.com
Pulmonary hypertension should be preoperatively evaluated for optimal surgical planning to
reduce surgical risk in lung cancer patients. Preoperative measurement of vascular diameter …

MRI to CTA translation for pulmonary artery evaluation using CycleGANs trained with unpaired data

M Stephens, RSJ Estepar, J Ruiz-Cabello… - Thoracic Image Analysis …, 2020 - Springer
Pulmonary Hypertension (PH) is a cardiovascular disease where the pulmonary arterial
pressure and resistance increases, causing functional and morphological changes in …

Segmentation and Measurements of Major Blood Vessels from CT Pulmonary Angiography Using Deep Learning

AT Kahraman, T Fröding, D Toumpanakis… - medRxiv, 2024 - medrxiv.org
Background Measuring major blood vessels from CT pulmonary angiography examinations
(CTPAs) to assess cardiovascular diseases has the potential to improve overall patient …

A SR-NET 3D-to-2D architecture for paraseptal emphysema segmentation

D Bermejo-Peláez, Y Okajima… - 2019 IEEE 16th …, 2019 - ieeexplore.ieee.org
Paraseptal emphysema (PSE) is a relatively unexplored emphysema subtype that is usually
asymptomatic, but recently associated with interstitial lung abnormalities which are related …