Enhanced lung cancer detection: Integrating improved random walker segmentation with artificial neural network and random forest classifier

Enhanced lung cancer detection: Integrating improved random walker segmentation with artificial neural network and random forest classifier

Background: Medical image segmentation is a vital yet difficult job because of the multimodality of the acquired images. It is difficult to locate the polluted area before it spreads. Methods: This research makes use of several machine learning tools, including an artificial neural network as well a...

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Bibliographic Details
Main Authors: Sneha S. Nair, V.N. Meena Devi, Saju Bhasi
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Heliyon
Subjects:
Accuracy
Classifier
Computed tomography
Diagnosis
LIDC dataset
Lung cancer
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024050631

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http://www.sciencedirect.com/science/article/pii/S2405844024050631

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