A novel multimodal framework for early diagnosis and classification of COPD based on CT scan images and multivariate pulmonary respiratory diseases

S Kumar, V Bhagat, P Sahu, MK Chaube… - Computer Methods and …, 2024 - Elsevier
Abstract Background and objective Chronic Obstructive Pulmonary Disease (COPD) is one
of the world's worst diseases; its early diagnosis using existing methods like statistical …

Texture-based analysis of COPD: a data-driven approach

L Sorensen, M Nielsen, P Lo, H Ashraf… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
This study presents a fully automatic, data-driven approach for texture-based quantitative
analysis of chronic obstructive pulmonary disease (COPD) in pulmonary computed …

Recognizing common CT imaging signs of lung diseases through a new feature selection method based on Fisher criterion and genetic optimization

X Liu, L Ma, L Song, Y Zhao, X Zhao… - IEEE journal of …, 2014 - ieeexplore.ieee.org
Common CT imaging signs of lung diseases (CISLs) are defined as the imaging signs that
frequently appear in lung CT images from patients and play important roles in the diagnosis …

Deep learning-based pectoralis muscle volume segmentation method from chest computed tomography image using sagittal range detection and axial slice-based …

Z Yang, I Choi, J Choi, J Jung, M Ryu, HS Yong - PloS one, 2023 - journals.plos.org
The pectoralis muscle is an important indicator of respiratory muscle function and has been
linked to various parenchymal biomarkers, such as airflow limitation severity and diffusing …

Lung texture classification using locally–oriented Riesz components

A Depeursinge, A Foncubierta-Rodriguez… - … Image Computing and …, 2011 - Springer
We develop a texture analysis framework to assist radiologists in interpreting high–
resolution computed tomography (HRCT) images of the lungs of patients affected with …

Automatic emphysema detection using weakly labeled HRCT lung images

I Pino Peña, V Cheplygina, S Paschaloudi, M Vuust… - PloS one, 2018 - journals.plos.org
Purpose A method for automatically quantifying emphysema regions using High-Resolution
Computed Tomography (HRCT) scans of patients with chronic obstructive pulmonary …

Using HOG-LBP features and MMP learning to recognize imaging signs of lung lesions

L Song, X Liu, L Ma, C Zhou, X Zhao… - 2012 25th IEEE …, 2012 - ieeexplore.ieee.org
This paper proposes an approach to recognize Common Imaging Signs of Lesions (CISLs)
in lung CT images. We combine the bag-of-visual-words based on the Histograms of …

A new classifier fusion method based on historical and on-line classification reliability for recognizing common CT imaging signs of lung diseases

L Ma, X Liu, L Song, C Zhou, X Zhao, Y Zhao - … Medical Imaging and …, 2015 - Elsevier
Common CT imaging signs of lung diseases (CISL) play important roles in the diagnosis of
lung diseases. This paper proposes a new method of multiple classifier fusion to recognize …

Image dissimilarity-based quantification of lung disease from CT

L Sørensen, M Loog, P Lo, H Ashraf, A Dirksen… - … Image Computing and …, 2010 - Springer
In this paper, we propose to classify medical images using dissimilarities computed between
collections of regions of interest. The images are mapped into a dissimilarity space using an …

Classification of medical diagnostic images

M Nielsen, M De Bruijne, L Sørensen - US Patent 8,811,724, 2014 - Google Patents
The invention provides methods for automated classification of a medical diagnostic image
of a lung according to its deduced probability of relating to a lung of a patient who is …