Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm

TIA Mohamed, ON Oyelade, AE Ezugwu - Plos one, 2023 - journals.plos.org
Recently, research has shown an increased spread of non-communicable diseases such as
cancer. Lung cancer diagnosis and detection has become one of the biggest obstacles in …

An evolutionary crow search algorithm equipped with interactive memory mechanism to optimize artificial neural network for disease diagnosis

H Zamani, MH Nadimi-Shahraki - Biomedical Signal Processing and …, 2024 - Elsevier
Artificial neural network (ANN) is an information processing paradigm that loosely models
the thinking patterns of the human brain with specifications such as real-time learning, self …

Machine learning based heart disease diagnosis using non-invasive methods: A review

N Kumar, D Kumar - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Heart disease is the most dangerous disease among all the non-communicable diseases.
Annually 17900 thousand of peoples die due to heart problems. Cardiovascular disease …

[HTML][HTML] Optimising Multilayer Perceptron weights and biases through a Cellular Genetic Algorithm for medical data classification

MG Rojas, AC Olivera, PJ Vidal - Array, 2022 - Elsevier
In recent years, technology in medicine has shown a significant advance due to artificial
intelligence becoming a framework to make accurate medical diagnoses. Models like …

Decision support system for porous ceramic matrix-based burner by hybrid genetic algorithm-supervised kohonen Map: A comparative assessment of performance of …

S Acharya, VK Mishra, S Chaudhuri, JK Patel… - Arabian Journal for …, 2024 - Springer
Abstract Hybrid Genetic Algorithm (GA)-supervised Kohonen (SK) map is explored for the
decision support system in the operation of porous ceramic matrix (PCM)-based burners …

[HTML][HTML] Elephant herding optimization technique based neural network for cancer prediction

M Nayak, S Das, U Bhanja, MR Senapati - Informatics in Medicine Unlocked, 2020 - Elsevier
Cancer is a kind of uncontrolled growth of abnormal cells in any part of the body. It can be of
many types. Early prognosis of cancer is the only way to treat it in a better way for …

Classification model of machine learning for medical data analysis

R Srivastava, S Kumar, B Kumar - Statistical Modeling in Machine Learning, 2023 - Elsevier
Abstract Machine learning algorithms are newly emerging, cost-effective, and accurate
techniques that are used in image recognition, speech recognition, and automation systems …

A hybrid competitive evolutionary neural network optimization algorithm for a regression problem in chemical engineering

M Gavrilescu, SA Floria, F Leon, S Curteanu - Mathematics, 2022 - mdpi.com
Neural networks have demonstrated their usefulness for solving complex regression
problems in circumstances where alternative methods do not provide satisfactory results …

Network attack traffic recognition based on quantum neural network

M Zhang, B Lv, Z Liu - 2022 7th International Conference on …, 2022 - ieeexplore.ieee.org
Network attacks are increasingly being paid attention to. People are constantly studying
effective attack recognition and prevention methods. This paper presents a method of …

[PDF][PDF] Optimized deep learning model for early detection and classification of lung cancer on CT images.

TIA Mohamed - 2022 - researchgate.net
Recently, researchers have shown an increased interest in the early diagnosis and
detection of lung cancer using the characteristics of computed tomography (CT) images. The …