[HTML][HTML] An enhanced multimodal fusion deep learning neural network for lung cancer classification

SKB Sangeetha, SK Mathivanan, P Karthikeyan… - Systems and Soft …, 2024 - Elsevier
Cancer remains one of the leading causes of mortality worldwide, necessitating continuous
advancements in early diagnosis and treatment. Deep learning, a subset of artificial …

DeepMMSA: A novel multimodal deep learning method for non-small cell lung cancer survival analysis

Y Wu, J Ma, X Huang, SH Ling… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Lung cancer is the leading cause of cancer death worldwide. The critical reason for the
deaths is delayed diagnosis and poor prognosis. With the accelerated development of deep …

Comparative hybrid deep convolutional learning framework with transfer learning for diagnosis of lung cancer

S Dadgar, M Neshat - International Conference on Soft Computing and …, 2022 - Springer
Lung cancer stands as the most common cancer in men and has 2 nd rank in women
worldwide. Detecting the type of cancer and running the appropriate treatments in the early …

Predicting lung nodule malignancies by combining deep convolutional neural network and handcrafted features

S Li, P Xu, B Li, L Chen, Z Zhou, H Hao… - Physics in Medicine …, 2019 - iopscience.iop.org
To predict lung nodule malignancy with a high sensitivity and specificity for low dose CT
(LDCT) lung cancer screening, we propose a fusion algorithm that combines handcrafted …

[HTML][HTML] Emerging artificial intelligence methods for fighting lung cancer: A survey

J Zhou, H Xin - Clinical eHealth, 2022 - Elsevier
Lung cancer has one of the highest incidence rates and mortality rates among all common
cancers worldwide. Early detection of suspicious lung nodules is crucial in fighting lung …

Deep Learning in Medical Imaging: A Case Study on Lung Tissue Classification

SK Panda, JVN Ramesh, H Ghosh… - … on Pervasive Health …, 2024 - publications.eai.eu
INTRODUCTION: In the field of medical imaging, accurate categorization of lung tissue is
essential for timely diagnosis and management of lung-related conditions, including cancer …

A CAD system for lung cancer detection using hybrid deep learning techniques

AA Alsheikhy, Y Said, T Shawly, AK Alzahrani, H Lahza - Diagnostics, 2023 - mdpi.com
Lung cancer starts and spreads in the tissues of the lungs, more specifically, in the tissue
that forms air passages. This cancer is reported as the leading cause of cancer deaths …

Classification of non-small cell lung cancers using deep convolutional neural networks

SU Atiya, NVK Ramesh, BNK Reddy - Multimedia Tools and Applications, 2024 - Springer
Lung cancer is a major cause of cancer-related deaths worldwide, and early detection is
crucial in reducing mortality rates. To aid in this effort, researchers have been exploring …

[HTML][HTML] Computer aided model for lung cancer classification using cat optimized convolutional neural networks

A Gopinath, P Gowthaman, M Venkatachalam… - Measurement …, 2023 - Elsevier
Lung cancer is a dangerous illness in the modern world. Lung cancer diagnosis requires a
more thorough investigation than other disease processes since it affects both men and …

Dual-stage classification for lung cancer detection and staging using hybrid deep learning techniques

J Subash, S Kalaivani - Neural Computing and Applications, 2024 - Springer
Lung cancer, a malignant disease originating in the lungs, presents significant challenges in
early detection and staging. It occurs when abnormal lung cells grow uncontrollably, forming …