Non‐small cell lung cancer in China

P Chen, Y Liu, Y Wen, C Zhou - Cancer Communications, 2022 - Wiley Online Library
In China, lung cancer is a primary cancer type with high incidence and mortality. Risk factors
for lung cancer include tobacco use, family history, radiation exposure, and the presence of …

[HTML][HTML] Radiomics and artificial intelligence in lung cancer screening

F Binczyk, W Prazuch, P Bozek… - Translational lung cancer …, 2021 - ncbi.nlm.nih.gov
Lung cancer is responsible for more fatalities than any other cancer worldwide, with 1.76
million associated deaths reported in 2018. The key issue in the fight against this disease is …

Machine-learning methods for computational science and engineering

M Frank, D Drikakis, V Charissis - Computation, 2020 - mdpi.com
The re-kindled fascination in machine learning (ML), observed over the last few decades,
has also percolated into natural sciences and engineering. ML algorithms are now used in …

Lung cancer identification: a review on detection and classification

SK Thakur, DP Singh, J Choudhary - Cancer and Metastasis Reviews, 2020 - Springer
Lung cancer is one of the most common diseases among humans and one of the major
causes of growing mortality. Medical experts believe that diagnosing lung cancer in the early …

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods

F Saberi-Movahed, M Mohammadifard… - Computers in biology …, 2022 - Elsevier
One of the most critical challenges in managing complex diseases like COVID-19 is to
establish an intelligent triage system that can optimize the clinical decision-making at the …

The value of artificial intelligence in the diagnosis of lung cancer: A systematic review and meta-analysis

M Liu, J Wu, N Wang, X Zhang, Y Bai, J Guo, L Zhang… - PLoS …, 2023 - journals.plos.org
Lung cancer is a common malignant tumor disease with high clinical disability and death
rates. Currently, lung cancer diagnosis mainly relies on manual pathology section analysis …

IGWO-IVNet3: DL-based automatic diagnosis of lung nodules using an improved gray wolf optimization and InceptionNet-V3

A Bilal, M Shafiq, F Fang, M Waqar, I Ullah, YY Ghadi… - Sensors, 2022 - mdpi.com
Artificial intelligence plays an essential role in diagnosing lung cancer. Lung cancer is
notoriously difficult to diagnose until it has progressed to a late stage, making it a leading …

On the performance of lung nodule detection, segmentation and classification

D Gu, G Liu, Z Xue - Computerized Medical Imaging and Graphics, 2021 - Elsevier
Computed tomography (CT) screening is an effective way for early detection of lung cancer
in order to improve the survival rate of such a deadly disease. For more than two decades …

[HTML][HTML] Advances in lung cancer screening and early detection

C Li, H Wang, Y Jiang, W Fu, X Liu… - Cancer biology & …, 2022 - ncbi.nlm.nih.gov
Lung cancer is associated with a heavy cancer-related burden in terms of patients' physical
and mental health worldwide. Two randomized controlled trials, the US-National Lung …

WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network

Z Shen, P Cao, J Yang, OR Zaiane - Computers in Biology and Medicine, 2023 - Elsevier
Computer-aided lung cancer diagnosis (CAD) system on computed tomography (CT) helps
radiologists guide preoperative planning and prognosis assessment. The flexibility and …