Artificial intelligence techniques to predict the airway disorders illness: a systematic review

A Koul, RK Bawa, Y Kumar - Archives of Computational Methods in …, 2023 - Springer
Airway disease is a major healthcare issue that causes at least 3 million fatalities every year.
It is also considered one of the foremost causes of death all around the globe by 2030 …

[PDF][PDF] A Systematic Literature Review Of Machine and Deep Learning-Based Detection And Classification Methods for Diseases Related To the Respiratory System

QMM Zarandah, SM Daud, SS Abu-Naser - Journal of Theoretical and …, 2023 - jatit.org
Deep Learning (DL) is a sub field of Machine Learning (ML) that has considerable
prospective in many areas of study like computer vision, image, and audio processing. A …

Lung diseases detection using various deep learning algorithms

M Jasmine Pemeena Priyadarsini… - Journal of healthcare …, 2023 - Wiley Online Library
The primary objective of this proposed framework work is to detect and classify various lung
diseases such as pneumonia, tuberculosis, and lung cancer from standard X‐ray images …

Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory

M Fraiwan, L Fraiwan, M Alkhodari… - Journal of Ambient …, 2022 - Springer
In this paper, a study is conducted to explore the ability of deep learning in recognizing
pulmonary diseases from electronically recorded lung sounds. The selected data-set …

A systematic review of modern approaches in healthcare systems for lung cancer detection and classification

SK Pandey, AK Bhandari - Archives of Computational Methods in …, 2023 - Springer
Lung cancer has become a prevalent form of cancer; it can be found in persons of all age
groups. The early stage identification of lung cancer is required to control the integrated …

Lung disease classification using deep convolutional neural network

Z Tariq, SK Shah, Y Lee - 2019 IEEE international conference …, 2019 - ieeexplore.ieee.org
The advanced technologies are essential to achieving the improvement of medicine. More
specifically, an extensive investigation in a partnership among researchers, health care …

Deep-learning framework to detect lung abnormality–A study with chest X-Ray and lung CT scan images

A Bhandary, GA Prabhu, V Rajinikanth… - Pattern Recognition …, 2020 - Elsevier
Lung abnormalities are highly risky conditions in humans. The early diagnosis of lung
abnormalities is essential to reduce the risk by enabling quick and efficient treatment. This …

Respiratory diseases recognition through respiratory sound with the help of deep neural network

V Basu, S Rana - 2020 4th International Conference on …, 2020 - ieeexplore.ieee.org
Prediction of respiratory diseases such as COPD (Chronic obstructive pulmonary disease),
URTI (upper respiratory tract infection), Bronchiectasis, Pneumonia, Bronchiolitis with the …

Convolutional neural networks based efficient approach for classification of lung diseases

F Demir, A Sengur, V Bajaj - Health information science and systems, 2019 - Springer
Abstract Treatment of lung diseases, which are the third most common cause of death in the
world, is of great importance in the medical field. Many studies using lung sounds recorded …

Cough sound detection and diagnosis using artificial intelligence techniques: challenges and opportunities

KS Alqudaihi, N Aslam, IU Khan, AM Almuhaideb… - Ieee …, 2021 - ieeexplore.ieee.org
Coughing is a common symptom of several respiratory diseases. The sound and type of
cough are useful features to consider when diagnosing a disease. Respiratory infections …