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COPD Classification in CT Images Using a 3D Convolutional Neural Network

2020-01-04 · Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kaergel, Nishant Ravikumar, Martine Remy-Jardin, Andreas Maier

Chronic obstructive pulmonary disease (COPD) is a lung disease that is not fully reversible and one of the leading causes of morbidity and mortality in the world. Early detection and diagnosis of COPD can increase the survival rate and reduce the risk of COPD progression in patients. Currently, the primary examination tool to diagnose COPD is spirometry. However, computed tomography (CT) is used for detecting symptoms and sub-type classification of COPD. Using different imaging modalities is a difficult and tedious task even for physicians and is subjective to inter-and intra-observer variations. Hence, developing meth-ods that can automatically classify COPD versus healthy patients is of great interest. In this paper, we propose a 3D deep learning approach to classify COPD and emphysema using volume-wise annotations only. We also demonstrate the impact of transfer learning on the classification of emphysema using knowledge transfer from a pre-trained COPD classification model.

📄 PDF Abstract BibTeX arXiv:2001.01100

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ClassificationComputed Tomography (CT)General Classification Transfer Learning

COPD-FlowNet: Elevating Non-invasive COPD Diagnosis with CFD Simulations

2023-12-17 · Aryan Tyagi, Aryaman Rao, Shubhanshu Rao, Raj Kumar Singh

Chronic Obstructive Pulmonary Disorder (COPD) is a prevalent respiratory disease that significantly impacts the quality of life of affected individuals. This paper presents COPDFlowNet, a novel deep-learning framework th…

Data Augmentation Generative Adversarial Network

Federated Learning for Chronic Obstructive Pulmonary Disease Classification with Partial Personalized Attention Mechanism

2022-10-28 · Yiqing Shen, Baiyun Liu, Ruize Yu, Yudong Wang 외

Chronic Obstructive Pulmonary Disease (COPD) is the fourth leading cause of death worldwide. Yet, COPD diagnosis heavily relies on spirometric examination as well as functional airway limitation, which may cause a consid…

Federated Learning Personalized Federated Learning

Classification of COPD with Multiple Instance Learning

2017-03-15 · Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Holst Pedersen 외

Chronic obstructive pulmonary disease (COPD) is a lung disease where early detection benefits the survival rate. COPD can be quantified by classifying patches of computed tomography images, and combining patch labels int…

Classification General Classification Multiple Instance Learning

Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging

2023-03-13 · Tina Dorosti, Manuel Schultheiss, Felix Hofmann, Johannes Thalhammer 외

We aim to optimize the binary detection of Chronic Obstructive Pulmonary Disease (COPD) based on emphysema presence in the lung with convolutional neural networks (CNN) by exploring manually adjusted versus automated win…

Binary Classification Computed Tomography (CT)

Chronic Obstructive Pulmonary Disease Severity Classification using lung sound

2024-06-06 · 10th International Conference on Communication and Signal Processing (ICCSP) 2024 6 · Khanaghavalle G R, Rahul G, Senajith S R, Vishnuvasan T S 외

A global health concern, chronic obstructive pulmonary disease (COPD) demands early detection and intervention for effective treatment. Leveraging the extensive 12-channel lung sound dataset "RespiratoryDatabase@TR", our…

Classification Diagnostic Medical Image Analysis