Automated lung cancer detection using novel genetic TPOT feature optimization with deep learning techniques

Automated lung cancer detection using novel genetic TPOT feature optimization with deep learning techniques

Lung cancer remains a leading cause of cancer-related deaths globally. Early and accurate detection is crucial for improving patient outcomes. Traditional methods, relying on manual interpretation of medical images, are time-consuming and prone to errors. Deep learning, particularly convolutional ne...

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Bibliographic Details
Main Authors: Mohamed Hammad, Mohammed ElAffendi, Muhammad Asim, Ahmed A. Abd El-Latif, Radwa Hashiesh
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
Subjects:
Lung cancer
CNN
Genetic technique
TPOT
LSTM
Hybrid models
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024017006
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