Deep learning enables automatic classification of emphysema pattern at CT
SM Humphries, AM Notary, JP Centeno, MJ Strand… - Radiology, 2020 - pubs.rsna.org
Background Pattern of emphysema at chest CT, scored visually by using the Fleischner
Society system, is associated with physiologic impairment and mortality risk. Purpose To …
Society system, is associated with physiologic impairment and mortality risk. Purpose To …
Classification and quantification of emphysema using a multi-scale residual network
L Peng, L Lin, H Hu, H Li, Q Chen… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Automated tissue classification is an essential step for quantitative analysis and treatment of
emphysema. Although many studies have been conducted in this area, there still remain two …
emphysema. Although many studies have been conducted in this area, there still remain two …
Characterizing Alzheimer's disease with image and genetic biomarkers using supervised topic models
Neuroimaging and genetic biomarkers have been widely studied from discriminative
perspectives towards Alzheimer's disease (AD) classification, since neuroanatomical …
perspectives towards Alzheimer's disease (AD) classification, since neuroanatomical …
Unsupervised domain adaption with adversarial learning (UDAA) for emphysema subtyping on cardiac CT scans: The mesa study
Emphysema quantification and sub-typing is actively studied on cohorts of full-lung high-
resolution CT (HRCT) scans, with promising results. Transfer of quantification and …
resolution CT (HRCT) scans, with promising results. Transfer of quantification and …
Classification of Pulmonary Emphysema using Deep Learning
R Ramadoss, C Vimala - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Emphysema is one of the lung diseases that comprise COPD. Emphysema is a long-term
lung illness that results in alveolar destruction, which destroys tiny air sacs in the lung that …
lung illness that results in alveolar destruction, which destroys tiny air sacs in the lung that …
Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach
Probabilistic topic models, have been widely deployed for various applications such as
learning disease or tissue subtypes. Yet, learning the parameters of such models is usually …
learning disease or tissue subtypes. Yet, learning the parameters of such models is usually …
Multi-scale deep convolutional neural networks for emphysema classification and quantification
L Peng, L Lin, H Hu, Q Zhang, H Li, Q Chen… - Deep Learning in …, 2020 - Springer
In this work, we aim at classification and quantification of emphysema in computed
tomography (CT) images of lungs. Most previous works are limited to extracting low-level …
tomography (CT) images of lungs. Most previous works are limited to extracting low-level …
Multi-scale Deep Convolutional Neural Networks for Emphysema Classification
L Peng, L Lin, H Hu, Q Zhang, H Li… - Deep Learning in …, 2019 - books.google.com
In this work, we aim at classification and quantification of emphysema in computed
tomography (CT) images of lungs. Most previous works are limited to extracting low-level …
tomography (CT) images of lungs. Most previous works are limited to extracting low-level …
Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd Study
Pulmonary emphysema, overlapping with Chronic Obstructive Pulmonary Disorder (COPD),
contributes to a significant amount of morbidity and mortality annually. Computed …
contributes to a significant amount of morbidity and mortality annually. Computed …