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

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 recent years. Early lung cancer diagnosis and detection would reliably promote safety and the survival of many lives globally....

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Bibliographic Details
Published in:	PloS one Vol. 18; no. 8; p. e0285796
Main Authors:	Mohamed, Tehnan I. A., Oyelade, Olaide N., Ezugwu, Absalom E.
Format:	Journal Article
Language:	English
Published:	San Francisco Public Library of Science 17.08.2023
Subjects:	Accuracy Algorithms Analysis Bias Biology and Life Sciences Care and treatment Classification Computed tomography Computer and Information Sciences Configuration management CT imaging Datasets Deep learning Design Diagnosis Ebola virus Engineering and Technology Evaluation Feature selection Heuristic methods Lung cancer Lung diseases Machine learning Medical imaging Medicine and Health Sciences Methods Modelling Neural networks Optimization Optimization algorithms Optimization techniques Outdoor air quality Performance assessment Physical Sciences Public health Research and Analysis Methods Search algorithms Viruses South Africa
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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