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[HTML][HTML] The potential role of artificial intelligence in lung cancer screening using low-dose computed tomography
PA Grenier, AL Brun, F Mellot - Diagnostics, 2022 - mdpi.com
Two large randomized controlled trials of low-dose CT (LDCT)-based lung cancer screening
(LCS) in high-risk smoker populations have shown a reduction in the number of lung cancer …
(LCS) in high-risk smoker populations have shown a reduction in the number of lung cancer …
Advancements in automated classification of chronic obstructive pulmonary disease based on computed tomography imaging features through deep learning …
Z Zhu - Respiratory Medicine, 2024 - Elsevier
Abstract Chronic Obstructive Pulmonary Disease (COPD) represents a global public health
issue that significantly impairs patients' quality of life and overall health. As one of the …
issue that significantly impairs patients' quality of life and overall health. As one of the …
[HTML][HTML] The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data
Challenges drive the state-of-the-art of automated medical image analysis. The quantity of
public training data that they provide can limit the performance of their solutions. Public …
public training data that they provide can limit the performance of their solutions. Public …
[HTML][HTML] Emphysema quantification using ultra-low-dose chest CT: efficacy of deep learning-based image reconstruction
JA Yeom, KU Kim, M Hwang, JW Lee, KI Kim, YS Song… - Medicina, 2022 - mdpi.com
Background and Objectives: Although reducing the radiation dose level is important during
diagnostic computed tomography (CT) applications, effective image quality enhancement …
diagnostic computed tomography (CT) applications, effective image quality enhancement …
Deep Learning–Based Kernel Adaptation Enhances Quantification of Emphysema on Low-Dose Chest CT for Predicting Long-Term Mortality
Objectives The aim of this study was to ascertain the predictive value of quantifying
emphysema using low-dose computed tomography (LDCT) post deep learning–based …
emphysema using low-dose computed tomography (LDCT) post deep learning–based …
Predicting Postoperative Lung Function in Patients with Lung Cancer Using Imaging Biomarkers
OB Kwon, HU Lee, HE Park, JY Choi, JW Kim, SH Lee… - Diseases, 2024 - mdpi.com
There have been previous studies conducted to predict postoperative lung function with
pulmonary function tests (PFTs). Computing tomography (CT) can quantitatively measure …
pulmonary function tests (PFTs). Computing tomography (CT) can quantitatively measure …
Reduce Measurement Variability at Longitudinal Quantitative CT to Improve Assessment of Emphysema
JM Goo - Radiology, 2024 - pubs.rsna.org
Dr Goo is a professor in the Department of Radiology at Seoul National University College of
Medicine. His research interests include lung cancer imaging, lung cancer screening, and …
Medicine. His research interests include lung cancer imaging, lung cancer screening, and …
[PDF][PDF] Accelerating research on 3D medical image classification and regression
LH Boulogne - 2025 - repository.ubn.ru.nl
This is an Open Access book published under the terms of Creative Commons Attribution-
Noncommercial-NoDerivatives International license (CC BY-NC-ND 4.0). This license …
Noncommercial-NoDerivatives International license (CC BY-NC-ND 4.0). This license …
Predicting postoperative lung function in lung cancer patients by using imaging biomarkers
OB Kwon, HU Lee, HE Park, JY Choi, JW Kim, SH Lee… - 2023 - researchsquare.com
Background There were previous studies to predict postoperative lung function with
pulmonary function test (PFT). Computing tomography (CT) can quantitatively measure …
pulmonary function test (PFT). Computing tomography (CT) can quantitatively measure …