: A Decision Support System for Lung Colon Cancer Classification using Fusion of Deep Neural Networks and Normal Distribution based Gray Wolf …

M Ijaz, I Ashraf, U Zahid, A Yasin, S Ali… - ACM Transactions on …, 2023 - dl.acm.org
Lung and Colorectal (LC) cancer is life-threatening and rapidly developing cancers.
According to World Health Organization (WHO), approximately 4.14 million lung and …

Cjt-deo: Condorcet's jury theorem and differential evolution optimization based ensemble of deep neural networks for pulmonary and colorectal cancer classification

G Srivastava, A Chauhan, N Pradhan - Applied Soft Computing, 2023 - Elsevier
Cancer is one of the most dangerous diseases globally, causing adverse effects on human
life, with early detection and treatment planning being crucial for patients. Amongst different …

[PDF][PDF] An optimal model for classification of lung cancer using grey wolf optimizer and deep hybrid learning

R Mothkur, VB Nagendrappa - Indonesian Journal of Electrical …, 2023 - academia.edu
In recent years, metaheuristic methods have shown major advantages in the field of feature
selection due to its comprehensibility and possible extensive search competence. However …

Optimized convolutional neural network for the classification of lung cancer

D Paikaray, AK Mehta, DA Khan - The Journal of Supercomputing, 2024 - Springer
Convolutional neural networks (CNN) have made significant strides in the field of image
processing recently by solving a variety of previously unsolvable issues. However, the …

An End-to-End Lightweight Multi-Scale CNN for the Classification of Lung and Colon Cancer with XAI Integration

MA Hasan, F Haque, SR Sabuj, H Sarker, MOF Goni… - Technologies, 2024 - mdpi.com
To effectively treat lung and colon cancer and save lives, early and accurate identification is
essential. Conventional diagnosis takes a long time and requires the manual expertise of …

Classification of lung and colon cancer using deep learning method

M Al-Mamun Provath, K Deb, KH Jo - International Workshop on Frontiers …, 2023 - Springer
Cancer seems to have a significantly high mortality rate as a result of its aggressiveness,
significant propensity for metastasis, and heterogeneity. One of the most common types of …

[HTML][HTML] Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images

R Raza, F Zulfiqar, MO Khan, M Arif, A Alvi… - … Applications of Artificial …, 2023 - Elsevier
Lung cancer (LC) remains a leading cause of death worldwide. Early diagnosis is critical to
protect innocent human lives. Computed tomography (CT) scans are one of the primary …

Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

MA Talukder, MM Islam, MA Uddin, A Akhter… - Expert Systems with …, 2022 - Elsevier
Cancer is a fatal disease caused by a combination of genetic diseases and a variety of
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …

Smart Health Care Management System for Diagnosis of Lungs Cancer

A Abugabah, F Shahid, A Alafeef… - … on Ubiquitous and …, 2023 - ieeexplore.ieee.org
Lung cancer has a mortality rate that is significantly greater than other forms of cancer,
making it the second biggest cause of death worldwide after cardiovascular disease …

Multi-class Classification of Colon and Lung Cancer using Deep Convolution Neural Network

V Anand, KS Gill, S Gupta - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Lung and colon cancers are among the most common forms of the disease. The key to
effective treatment and long-term patient survival is a prompt and precise diagnosis …