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] Deep Learning Assisted Diagnosis of Chronic Obstructive Pulmonary Disease Based on a Local-to-Global Framework
N Cai, Y Xie, Z Cai, Y Liang, Y Zhou, P Wang - Electronics, 2024 - mdpi.com
To aid the diagnosis of chronic obstructive pulmonary disease (COPD), a local-to-global
deep framework with group attentions and slice-aware loss is designed in this paper, which …
deep framework with group attentions and slice-aware loss is designed in this paper, which …
Highlights from the 11th Bronchitis International Symposium:“Heterogeneity of Lung Disease in a Changing Environment,” Groningen, The Netherlands, 2024
This meeting report provides an overview of the highlights of the Bronchitis XI international
symposium, held in June 2024 in Groningen, The Netherlands. The theme of this year's …
symposium, held in June 2024 in Groningen, The Netherlands. The theme of this year's …
[HTML][HTML] A radiomics-based logistic regression model for the assessment of emphysema severity
M Gulbay - Tuberculosis and Thorax, 2023 - ncbi.nlm.nih.gov
Materials and Methods Over the last 12 months, a total of 354 patients were screened based
on the presence of terms such as “Fleischner”,“CLE”, and “centriacinar” in their thoracic CT …
on the presence of terms such as “Fleischner”,“CLE”, and “centriacinar” in their thoracic CT …
[PDF][PDF] EXPLAINABILITY AND UNDERSTANDABILITY OF ARTIFICIAL NEURAL NETWORKS
J Stodt - researchgate.net
Artificial Neural Networks (ANNs) have achieved significant success in fields like healthcare,
but their" black box" nature challenges transparency and user trust. Existing Explainable AI …
but their" black box" nature challenges transparency and user trust. Existing Explainable AI …