Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and CT) Images

Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and CT) Images

The purpose of this research is to demonstrate the ability of machine-learning (ML) methods for liver cancer classification using a fused dataset of two-dimensional (2D) computed tomography (CT) scans and magnetic resonance imaging (MRI). Datasets of benign (hepatocellular adenoma, hemangioma, cyst)...

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Bibliographic Details
Main Authors: Samreen Naeem, Aqib Ali, Salman Qadri, Wali Khan Mashwani, Nasser Tairan, Habib Shah, Muhammad Fayaz, Farrukh Jamal, Christophe Chesneau, Sania Anam
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Applied Sciences
Subjects:
liver cancer
Otsu thresholding-based segmentation
fused optimized hybrid features
multilayer perceptron
Online Access:https://www.mdpi.com/2076-3417/10/9/3134

Internet

https://www.mdpi.com/2076-3417/10/9/3134

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