Machine Learning Based Approach for Automated Cervical Dysplasia Detection Using Multi-Resolution Transform Domain Features

Machine Learning Based Approach for Automated Cervical Dysplasia Detection Using Multi-Resolution Transform Domain Features

Pattern detection and classification of cervical cell dysplasia can assist with diagnosis and treatment. This study aims to develop a computational model for real-world applications for cervical dysplasia that has the highest degree of accuracy and the lowest computation time. Initially, an ML frame...

Full description

Bibliographic Details
Main Authors: Kangkana Bora, Lipi B. Mahanta, Kasmika Borah, Genevieve Chyrmang, Barun Barua, Saurav Mallik, Himanish Shekhar Das, Zhongming Zhao
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Mathematics
Subjects:
cervical dysplasia
pap smear images
discrete wavelet transform
ripplet transform
non sub-sampled
contourlet transform
Online Access:https://www.mdpi.com/2227-7390/10/21/4126

Internet

https://www.mdpi.com/2227-7390/10/21/4126

Similar Items