Performance analysis of various machine learning-based approaches for detection and classification of lung cancer in humans

GAP Singh, PK Gupta - Neural Computing and Applications, 2019 - Springer
Lung cancer is one of the most common causes of death among all cancer-related diseases
(Cancer Research UK in Cancer mortality for common cancers. http://www …

A dynamic optimization and deep learning technique for detection of lung cancer in CT images and data access through Internet of Things

C Venkatesh, P Bojja - Wireless Personal Communications, 2022 - Springer
Now-a-days the most common pretentious disease is the lung cancer, which has become
more prevalent in the world that primarily infects the pulmonary nodules of the lungs. At …

[HTML][HTML] Image processing techniques for analyzing CT scan images towards the early detection of lung cancer

JV Wason, A Nagarajan - Bioinformation, 2019 - ncbi.nlm.nih.gov
The application of image processing techniques for the analysis of CT scan images
corresponding to lung cancer cells is gaining momentum in recent years. Therefore, it is of …

Effect of image enhancement on MRI brain images with neural networks

K Dimililer, A İlhan - Procedia Computer Science, 2016 - Elsevier
Since human body's standard control metabolism stops, old cells do not die and these
abnormal cells forms a mass of tissue, known as tumor. In order to diagnose tumors, huge …

Intelligent eye tumour detection system

K Dimililer, YK Ever, H Ratemi - Procedia Computer Science, 2016 - Elsevier
In order to diagnose cancer, huge biomedical machines such as PET-CT machines are
used. Image fusion is an efficient image processing method for detecting different types of …

A Systematic survey of classification algorithms for cancer detection

AK Pandey, P Singh - International Journal of Data Informatics and …, 2022 - ijdiic.com
Cancer is a fatal disease induced by the occurrence of a count of inherited issues and also a
count of pathological changes. Malignant cells are dangerous abnormal areas that could …

[PDF][PDF] Lung Cancer Detection Using Multi-Layer Neural Networks with Independent Component Analysis: A Comparative Study of Training Algorithms.

AM Mesleh - Jordan Journal of Biological Sciences, 2017 - jjbs.hu.edu.jo
The present paper presents a Computer-Aided Design (CAD) system that detects lung
cancer. Lung cancer detection uses Multi-Layer (ML), Neural Networks (NNs) and …

Mesh-free technique for enhancement of the lung CT image

O Singh, KL Kashyap, KK Singh - Biomedical Signal Processing and …, 2023 - Elsevier
Lung cancer is abnormal cell disease and a leading cause of mortality for both men and
women according to Global cancer statistics 2020 (GLOBACON). Pulmonary nodules …

Detection of lung tumor using dual tree complex wavelet transform and co‐active adaptive neuro fuzzy inference system classification approach

MS Kailasam, MD Thiagarajan - International Journal of …, 2021 - Wiley Online Library
The automatic detection and location of the tumor regions in lung images is more important
to provide timely medical treatments to patients in order to save their lives. In this article …

Lung cancer prediction and detection using image processing mechanisms: an overview

BT Ahmed - Signal and Image Processing Letters, 2019 - simple.ascee.org
Nowadays, cancer has counted as a hazardous disease that many people suffered from
especially Lung-Cancer. Cancer is the disease that cell has grown rapidly and abnormally …