Deep features selection through genetic algorithm for cervical pre-cancerous cell classification

Cervical cancer affects more than 500,000 women in the world annually accounting for about 6-9% of all cancer cases, but, its tedious detection procedure makes population-wide screening impossible. Classification of cervical pre-cancerous cells using computer-aided diagnosis tools is a challenging t...

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Veröffentlicht in:	Multimedia tools and applications 2023-04, Vol.82 (9), p.13431-13452
Hauptverfasser:	Kundu, Rohit, Chattopadhyay, Soham
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Cancer Cervical cancer Classification Computer Communication Networks Computer Science Data Structures and Information Theory Evolutionary algorithms Feature extraction Genetic algorithms Heuristic methods Machine learning Multimedia Information Systems Special Purpose and Application-Based Systems Support vector machines
Online-Zugang:	Volltext
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