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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2024 Beyond Technology Summit on Informatics International Conference (BTS-I2C) S. 316 - 321
Hauptverfasser:	Jusman, Yessi, Resky Pahlevi, Nanda, Intan Rahmawati, Maryza, Aila Mat Zin, Anani, Hussain, Faezahtul Arbaeyah, Winiarti, Sri
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 19.12.2024
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!