Classification of Cervical Precancerous Cells Using Gabor Filter and Haar Wavelet Features Based on Neural Networks

Cervical cancer remains a major global health concern, particularly in low-resource regions. This study explored the classification of cervical precancerous cell images using texture-based feature extraction and Artificial Neural Networks (ANNs). Gabor Filter and Haar Wavelet Transform were applied...

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Bibliographic Details

Published in:	2024 Beyond Technology Summit on Informatics International Conference (BTS-I2C) pp. 316 - 321
Main Authors:	Jusman, Yessi, Resky Pahlevi, Nanda, Intan Rahmawati, Maryza, Aila Mat Zin, Anani, Hussain, Faezahtul Arbaeyah, Winiarti, Sri
Format:	Conference Proceeding
Language:	English
Published:	IEEE 19.12.2024
Subjects:	Accuracy Biological neural networks Cervical cancer Classification Computer architecture Feature extraction Gabor Filter Gabor filters Haar Wavelet Microprocessors Neural Networks ROC Testing Training Wavelet transforms
Online Access:	Get full text
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