An Analysis on the Integration of Machine Learning and Advanced Imaging Technologies for Predicting the Liver Cancer

This research analyzed the accuracy of machine learning models in classifying liver cancer based on CT and MRI scans. A dataset consisting of 2334 images of benign and malignant liver diseases is used. The authors perform a complete preprocessing pipeline that includes normalization, noise reduction...

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Bibliographic Details

Published in:	2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN) pp. 1082 - 1086
Main Authors:	Kelagadi, Hemantaraj M, Kumar K, Amit, D, Anandan, Vishnu Raja, P., Senthilkumar, G., L, Natrayan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 03.05.2024
Subjects:	Accuracy Analytical models Artificial Neural Networks Computed tomography e-healthcare IoT Liver cancer Liver diseases machine learning Magnetic resonance imaging patient monitoring predictive healthcare sensors Visualization
Online Access:	Get full text
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