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 …

Self-supervised transfer learning framework driven by visual attention for benign–malignant lung nodule classification on chest CT

R Wu, C Liang, Y Li, X Shi, J Zhang, H Huang - Expert Systems with …, 2023 - Elsevier
Lung cancer is one of the most fatal malignant diseases, which poses an acute menace to
human health and life. The accurate differential diagnosis of lung nodules is a vital step in …

A diagnostic classification of lung nodules using multiple-scale residual network

H Wang, H Zhu, L Ding, K Yang - Scientific Reports, 2023 - nature.com
Computed tomography (CT) scans have been shown to be an effective way of improving
diagnostic efficacy and reducing lung cancer mortality. However, distinguishing benign from …

Cat swarm optimization-based computer-aided diagnosis model for lung cancer classification in computed tomography images

T Vaiyapuri, Liyakathunisa, H Alaskar, R Parvathi… - Applied Sciences, 2022 - mdpi.com
Lung cancer is the most significant cancer that heavily contributes to cancer-related mortality
rate, due to its violent nature and late diagnosis at advanced stages. Early identification of …

A series-based deep learning approach to lung nodule image classification

MA Balcı, LM Batrancea, Ö Akgüller, A Nichita - Cancers, 2023 - mdpi.com
Simple Summary Medical image classification is an important task in computer-aided
diagnosis, medical image acquisition, and mining. Although deep learning has been shown …

Effective lung nodule detection using deep CNN with dual attention mechanisms

Z UrRehman, Y Qiang, L Wang, Y Shi, Q Yang… - Scientific Reports, 2024 - nature.com
Novel methods are required to enhance lung cancer detection, which has overtaken other
cancer-related causes of death as the major cause of cancer-related mortality. Radiologists …

3D gray density coding feature for benign‐malignant pulmonary nodule classification on chest CT

BB Zheng, D Yang, Y Zhu, Y Liu, J Hu, C Bai - Medical Physics, 2021 - Wiley Online Library
Purpose Early detection is significant to reduce lung cancer‐related death. Computer‐aided
detection system (CADs) can help radiologists to make an early diagnosis. In this paper, we …

Semantic context‐aware attention UNET for lung cancer segmentation and classification

S Balachandran, V Ranganathan - International Journal of …, 2023 - Wiley Online Library
Lung cancer is a serious type of cancer, leading to increased mortality to death in both men
and women as the symptoms are noticed only at later stages. Life span of individuals' may …

Attribute-Enhanced Capsule Network for Pulmonary Nodule Classification

Y Xu, Q She, S Sun, X Xi, S Du - Journal of Medical and Biological …, 2024 - Springer
Purpose Most pulmonary nodule classification methods solely rely on nodule images
without considering the corresponding attribute information. Additionally, conventional …

A proposed methodology for detecting the malignant potential of pulmonary nodules in sarcoma using computed tomographic imaging and artificial intelligence-based …

E Baidya Kayal, S Ganguly, A Sasi, S Sharma… - Frontiers in …, 2023 - frontiersin.org
The presence of lung metastases in patients with primary malignancies is an important
criterion for treatment management and prognostication. Computed tomography (CT) of the …