[HTML][HTML] Artificial intelligence in lung cancer imaging: unfolding the future

M Cellina, M Cè, G Irmici, V Ascenti, N Khenkina… - Diagnostics, 2022 - mdpi.com
Lung cancer is one of the malignancies with higher morbidity and mortality. Imaging plays
an essential role in each phase of lung cancer management, from detection to assessment …

Explainable artificial intelligence (XAI) with IoHT for smart healthcare: A review

S Bharati, MRH Mondal, P Podder, U Kose - … Cognitive Internet of Things …, 2023 - Springer
Discussing the use of artificial intelligence (AI) in healthcare, explainability is a highly
contentious topic. AI-powered systems may be superior at certain analytical tasks, but their …

[HTML][HTML] Performance analysis of state-of-the-art cnn architectures for luna16

I Naseer, S Akram, T Masood, A Jaffar, MA Khan… - Sensors, 2022 - mdpi.com
The convolutional neural network (CNN) has become a powerful tool in machine learning
(ML) that is used to solve complex problems such as image recognition, natural language …

Comparison between vision transformers and convolutional neural networks to predict non-small lung cancer recurrence

A Fanizzi, F Fadda, MC Comes, S Bove, A Catino… - Scientific Reports, 2023 - nature.com
Non-Small cell lung cancer (NSCLC) is one of the most dangerous cancers, with 85% of all
new lung cancer diagnoses and a 30–55% of recurrence rate after surgery. Thus, an …

Machine Learning‐Based Lung Cancer Detection Using Multiview Image Registration and Fusion

I Nazir, I Haq, SA AlQahtani, MM Jadoon… - Journal of …, 2023 - Wiley Online Library
The exact lung cancer identification is a critical problem that has attracted the researchers'
attention. The practice of multiview single image and segmentation has been widely used for …

Improving YOLOv6 using advanced PSO optimizer for weight selection in lung cancer detection and classification

L Goel, P Patel - Multimedia Tools and Applications, 2024 - Springer
The human body comprises various essential organs, including the lungs, which are
responsible for the exchange of gases during respiration. However, the modern lifestyle and …

An efficient lung cancer detection using optimal SVM and improved weight based beetle swarm optimization

N Venkatesan, S Pasupathy, B Gobinathan - Biomedical Signal Processing …, 2024 - Elsevier
Lung cancer is caused by uncontrolled cell growth in the lung tissue. Early detection of lung
cancer is important for correct detection and availability of treatment. Diagnosing lung …

Computational intelligence in cancer diagnostics: A contemporary review of smart phone apps, current problems, and future research potentials

S Jain, D Naicker, R Raj, V Patel, YC Hu, K Srinivasan… - Diagnostics, 2023 - mdpi.com
Cancer is a dangerous and sometimes life-threatening disease that can have several
negative consequences for the body, is a leading cause of mortality, and is becoming …

A CT-based transfer learning approach to predict NSCLC recurrence: The added-value of peritumoral region

S Bove, A Fanizzi, F Fadda, MC Comes, A Catino… - PLoS …, 2023 - journals.plos.org
Non-small cell lung cancer (NSCLC) represents 85% of all new lung cancer diagnoses and
presents a high recurrence rate after surgery. Thus, an accurate prediction of recurrence risk …

The transcultural adaptation and validation of the Chinese version of the Attitudes Toward Recognizing Early and Noticeable Deterioration scale

W Li, H Yu, B Li, Y Zhang, M Fu - Frontiers in Psychology, 2022 - frontiersin.org
Background In China, clinical deterioration events present a real problem for every clinical
nurse. Patient deterioration is determined in part by nurses' attitudes toward early …