Diagnosis of lung cancer using hybrid deep neural network with adaptive sine cosine crow search algorithm

P Surendar - Journal of Computational Science, 2021 - Elsevier
Lung cancer is a leading cause of cancer related deaths in all around the world. The
identification of lung nodules is the significant step in the diagnosis of earlier lung cancer …

Lung cancer detection and classification using deep neural network based on hybrid metaheuristic algorithm

U Prasad, S Chakravarty, G Mahto - Soft Computing, 2023 - Springer
Lung cancer causes millions of deaths annually, and CT scans and lung X-rays are common
diagnostic tools. However, large datasets can contain noisy and irrelevant features that can …

Deep learning for lung Cancer detection and classification

A Asuntha, A Srinivasan - Multimedia Tools and Applications, 2020 - Springer
Lung cancer is one of the main reasons for death in the world among both men and women,
with an impressive rate of about five million deadly cases per year. Computed Tomography …

Intelligent deep learning algorithm for lung cancer detection and classification

NS Reddy, V Khanaa - Bulletin of Electrical Engineering and Informatics, 2023 - beei.org
Lung cancer is one of the leading causes of cancer mortality. The overlapping of cancer
cells makes early diagnosis difficult. When lung cancer is found early, many therapy choices …

Bat-inspired metaheuristic convolutional neural network algorithms for CAD-based lung cancer prediction

P Priyadharshini, BSE Zoraida - Journal of Applied Science and …, 2021 - jase.tku.edu.tw
In this real-world, lung cancer (LC) is the foremost reason for mortality in both mankind in the
present time, with an inspiring figure of around five million deaths every year. Computer …

RETRACTED: Novel computer‐aided lung cancer detection based on convolutional neural network‐based and feature‐based classifiers using metaheuristics

Z Guo, L Xu, Y Si, N Razmjooy - International Journal of …, 2021 - Wiley Online Library
This study proposes a lung cancer diagnosis system based on computed tomography (CT)
scan images for the detection of the disease. The proposed method uses a sequential …

HRDEL: High ranking deep ensemble learning-based lung cancer diagnosis model

KS Pradhan, P Chawla, R Tiwari - Expert Systems with Applications, 2023 - Elsevier
Among all the diseases in human beings, lung cancer is known as the most hazardous
disease that often leads to death rather than other cancer ailments. Lung cancer is …

Optimal deep learning model for classification of lung cancer on CT images

SK Lakshmanaprabu, SN Mohanty, K Shankar… - Future Generation …, 2019 - Elsevier
Lung cancer is one of the dangerous diseases that cause huge cancer death worldwide.
Early detection of lung cancer is the only possible way to improve a patient's chance for …

An automatic lung nodule detection and classification using an optimized convolutional neural network and enhanced k-means clustering

MD Lydia, M Prakash - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Lung cancer can be lethal if it is not found in the initial phases. Lung cancer, nevertheless, is
challenging to identify early due to the dimensions and form of the nodules. Imaging …

Optimal lung cancer detection based on CNN optimized and improved Snake optimization algorithm

C Yan, N Razmjooy - Biomedical Signal Processing and Control, 2023 - Elsevier
Lung cancer is an ailment that lessens the patient's capability to breathe because of the
excessive spread of lung tissue cells. The cancer spreads after genetic damage to DNA …