Automatic multiclass classification of laryngeal cancer using deep convolution neural networks

Automatic multiclass classification of laryngeal cancer using deep convolution neural networks

Abstract In this work, the classification of laryngeal cancer is attempted using deeply learned features obtained using Inception V3, Squeezenet, and VGG‐16 embedders in the Orange toolbox. Machine learning algorithms such as KNN, SVM, random forest, decision tree, and neural network classifiers are...

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Bibliographic Details
Main Authors: Ramesh Munirathinam, M. Tamilnidhi, Rajasekaran Thangaraj, Sivaraman Eswaran, Gokul Chandrasekaran, Neelam Sanjeev Kumar
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Electronics Letters
Subjects:
artificial intelligence
convolutional neural nets
health care
Online Access:https://doi.org/10.1049/ell2.13070

Internet

https://doi.org/10.1049/ell2.13070

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