Identification of Lacerations Caused by Cervical Cancer through a Comparative Study among Texture-Extraction Techniques

Identification of Lacerations Caused by Cervical Cancer through a Comparative Study among Texture-Extraction Techniques

Cervical cancer is a disease affecting a worrisomely large number of women worldwide. If not treated in a timely fashion, this disease can lead to death. Due to this problematic, this research employed the LBP, OC_LBP, CS-LTP, ICS-TS, and CCR texture descriptors for the characteristic extractions of...

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Bibliographic Details
Main Authors: Jorge Aguilar-Santiago, José Trinidad Guillen-Bonilla, Mario Alberto García-Ramírez, Maricela Jiménez-Rodríguez
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
texture descriptors
cervical cancer
neural network
statistical classifier
Online Access:https://www.mdpi.com/2076-3417/13/14/8292

Internet

https://www.mdpi.com/2076-3417/13/14/8292

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