Jeleń, Łukasz ; Stankiewicz-Antosz, Izabela ; Chosia, Maria ; Jeleń, Michał
Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.
Liquid-based cytology (LBC) is a widely used diagnostic tool for cervical cancer diagnosis. However, the accuracy and efficiency of LBC-based cervical cancer classification are still limited due to the lack of standardized, scalable, and objective cytological assessment protocols. To address these gaps, this study develops and evaluates a machine learning framework that integrates various feature extraction techniques, feature selection methods, and machine learning classifiers to improve cervical cancer detection. ; The results demonstrate that handcrafted and local binary pattern features achieve the best overall performance, with the SVM, gradient boosting and histogram-based gradient buffering reaching a 95.92% accuracy, highlighting the strength of combining morphological and texture descriptors to maximize their discriminative potential. Moreover, we provide a systematic comparison of different classification pipelines, offering insights into the feasibility of hybrid approaches, particularly in resource-constrained medical environments. ; The promising results obtained in this study highlight the potential impact of machine learning in modern medical diagnostics, providing a clinically relevant, highly accurate, and efficient classification method for LBC slides.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 35, number 4 (2025) ; kliknij tutaj, żeby przejść
Biblioteka Uniwersytetu Zielonogórskiego
30 mar 2026
30 mar 2026
0
https://zbc.uz.zgora.pl/repozytorium/publication/105974
| Nazwa wydania | Data |
|---|---|
| Stochastic feature selection and machine learning for optimized cervical cancer classification | 30 mar 2026 |
Kowal, Marek Skobel, Marcin Nowicki, Norbert Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Awais, Muhammad Akram, Tallha Alasiry, Areej Marzougui, Mehrez Park, Jongwoon Chang, Byoungchol Woźniak, Marcin - ed. Kumar, Yogesh - ed. Ijaz, Muhammad Fazal - ed.
Kusy, Maciej Zajdel, Roman Kusy, Maciej - ed. Scherer, Rafał - ed. Krzyżak, Adam - ed.
Ramakrishnan, Anandkumar Ramalingam, Rajakumar Ramalingam, Padmanaban Ravi, Vinayakumar Alahmadi, Tahani Jaser Maidin, Siti Sarah Woźniak, Marcin - ed. Kumar, Yogesh - ed. Ijaz, Muhammad Fazal - ed.
Sri Sravya, Valluri Naga Srinivasu, Parvathaneni Shafi, Jana Hołubowski, Waldemar Zielonka, Adam Woźniak, Marcin - ed. Kumar, Yogesh - ed. Ijaz, Muhammad Fazal - ed.
Bilalli, Besim Abelló, Alberto Aluja-Banet, Tomas Stefanowski, Jerzy - ed. Krawiec, Krzysztof - ed. Wrembel, Robert - ed.
Świniarski, Roman W. Grzymala-Busse, Jerzy - ed. Świniarski, Roman W. - ed. Zhong, Ning - ed. Ziarko, Wojciech - ed.
Michalak, Krzysztof Kwaśnicka, Halina Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.