[HTML][HTML] Artificial intelligence and pneumonia: a rapidly evolving frontier
AS Ginsburg, ED McCollum - The Lancet Global Health, 2023 - thelancet.com
Comment 2 www. thelancet. com/lancetgh Published online November 10, 2023 https://doi.
org/10.1016/S2214-109X (23) 00463-1 the subjectiveness in reference standards (ground …
org/10.1016/S2214-109X (23) 00463-1 the subjectiveness in reference standards (ground …
[HTML][HTML] Automated detection of abnormal respiratory sound from electronic stethoscope and mobile phone using MobileNetV2
X Liao, Y Wu, N Jiang, J Sun, W Xu, S Gao… - Biocybernetics and …, 2023 - Elsevier
Auscultation, a traditional clinical examination method using a stethoscope to quickly assess
airway abnormalities, remains valuable due to its real-time, non-invasive, and easy-to …
airway abnormalities, remains valuable due to its real-time, non-invasive, and easy-to …
[HTML][HTML] Multimodal Diagnostics of Changes in Rat Lungs after Vaping
(1) Background: The use of electronic cigarettes has become widespread in recent years.
The use of e-cigarettes leads to milder pathological conditions compared to traditional …
The use of e-cigarettes leads to milder pathological conditions compared to traditional …
[HTML][HTML] A New Shapley-Based Feature Selection Method in a Clinical Decision Support System for the Identification of Lung Diseases
The aim of this study is to propose a new feature selection method based on the class-based
contribution of Shapley values. For this purpose, a clinical decision support system was …
contribution of Shapley values. For this purpose, a clinical decision support system was …
[HTML][HTML] An open auscultation dataset for machine learning-based respiratory diagnosis studies
G Zhou, C Liu, X Li, S Liang, R Wang, X Huang - JASA Express Letters, 2024 - pubs.aip.org
Machine learning enabled auscultating diagnosis can provide promising solutions
especially for prescreening purposes. The bottleneck for its potential success is that high …
especially for prescreening purposes. The bottleneck for its potential success is that high …
Transformative Approach for Prediction of Lung Disease Using Lung X-ray Images
Lung diseases pose a significant global health challenge, underscoring the critical need for
prompt and precise diagnoses to facilitate effective treatments and enhance patient …
prompt and precise diagnoses to facilitate effective treatments and enhance patient …
[PDF][PDF] DEVELOPING A CONVOLUTIONAL NEURAL NETWORK FOR CLASSIFYING TUMOR IMAGES USING INCEPTION V3.
AA Mahmood, S Sadeq, YI Aljanabi… - … -European Journal of …, 2023 - researchgate.net
Deep learning algorithms rely on digital pathology to classify tissue tumors, where the whole
tissue slides are digitized and imaged. The produced multi-resolution whole slide images …
tissue slides are digitized and imaged. The produced multi-resolution whole slide images …
Neural network architectures in data sequence analysis: diagnosis of Reinke's oedema and Laryngeal polyps
J Szkoła - Technical Sciences, 2024 - czasopisma.uwm.edu.pl
In this review paper, we focus our attention on presenting selected neural network
architectures dedicated to the analysis of sequential data, in particular to support the …
architectures dedicated to the analysis of sequential data, in particular to support the …
[引用][C] Machines are learning chest auscultation. Will they also become our teachers?
H Pasterkamp, H Melbye - CHEST Pulmonary, 1924 - Elsevier