A survey of deep learning for lung disease detection on medical images: state-of-the-art, taxonomy, issues and future directions

STH Kieu, A Bade, MHA Hijazi, H Kolivand - Journal of imaging, 2020 - mdpi.com
The recent developments of deep learning support the identification and classification of
lung diseases in medical images. Hence, numerous work on the detection of lung disease …

A comprehensive survey on the progress, process, and challenges of lung cancer detection and classification

MF Mridha, AR Prodeep, ASMM Hoque… - Journal of …, 2022 - Wiley Online Library
Lung cancer is the primary reason of cancer deaths worldwide, and the percentage of death
rate is increasing step by step. There are chances of recovering from lung cancer by …

Lung-RetinaNet: Lung cancer detection using a RetinaNet with multi-scale feature fusion and context module

R Mahum, AS Al-Salman - IEEE Access, 2023 - ieeexplore.ieee.org
Lung cancer is one of the terrible diseases in various countries around the globe, and timely
detection of the illness is still a challenging process. The oncologists consider the blood test …

Trends of using machine learning for detection and classification of respiratory diseases: Investigation and analysis

B Aljaddouh, D Malathi - Materials Today: Proceedings, 2022 - Elsevier
The risk of respiratory diseases is significantly increased due to its easy spread, which
makes many researchers in various fields responsible for dealing with the spread of these …

Skip and chain connected deep fusion network for lung cancer screening

TAM Devi, VIM Jose - Multimedia Tools and Applications, 2024 - Springer
The second most prevalent and deadly disease in the world is lung cancer. It is become
more difficult to detect lung cancer in its early stages in humans. A novel deep learning …

A Comprehensive Review of Machine Learning Techniques for Lung Cancer Detection

AK Agarwal, H Maheshwari… - … Conference on System …, 2023 - ieeexplore.ieee.org
Despite being the most common cancer worldwide, lung cancer often stays undiagnosed
until advanced stages. In 2022, lung cancer will be responsible for 22% of all cancer-related …

[PDF][PDF] Lung cancer detection using an integration of fuzzy K-means clustering and deep learning techniques for CT lung images

J Prasad, S Chakravarty, MV Krishna - Bulletin of the Polish …, 2022 - journals.pan.pl
Computer aided detection systems are used for the provision of second opinion during lung
cancer diagnosis. For early-stage detection and treatment false positive reduction stage also …

Deep Learning Techniques for Detecting Lung Diseases.

J Gupta, M Mehrotra… - … International Journal of …, 2024 - search.ebscohost.com
Deep learning has emerged as a powerful tool in the medical imaging field that aims to
improve accuracy and speed of diagnosis. It can automatically learn feature representations …