An Iterated Local Search-Based Algorithm to Support Cell Nuclei Detection in Pap Smears Test

التفاصيل البيبلوغرافية
العنوان: An Iterated Local Search-Based Algorithm to Support Cell Nuclei Detection in Pap Smears Test
المؤلفون: Paulo H. C. Oliveira, Marcone Jamilson Freitas Souza, Cláudia Martins Carneiro, Daniela Ushizima, Débora Nasser Diniz, Andrea Gomes Campos Bianchi, Fátima N. S. de Medeiros
المصدر: Enterprise Information Systems ISBN: 9783030407827
ICEIS (Revised Selected Papers)
بيانات النشر: Springer International Publishing, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Pap smears, Iterated local search, Computer science, business.industry, Workload, Pattern recognition, 02 engineering and technology, Cervical cells, Image segmentation, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, Nuclei segmentation, Focus (optics), business, Metaheuristic
الوصف: The focus of this work is on the detection of nuclei in synthetic images of cervical cells. Finding nuclei is an important step in building a computational method to help cytopathologists identify cell changes from Pap smears. The method developed in this work combines both the Multi-Start and the Iterated Local Search metaheuristics and uses the features of a region to identify a nucleus. It aims to improve the assertiveness of the screening and reduce the professional workload. The irace package was used to automatically calibrate all parameter values of the method. The proposed approach was compared with other methods in the literature according to recall, precision, and F1 metrics using the ISBI Overlapping Cytology Image Segmentation Challenge database (2014). The results show that the proposed method has the second-best values of F1 and recall, while the accuracy is still high.
ردمك: 978-3-030-40782-7
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::8f72a673c51dbe3f02963ea8c37676dc
https://doi.org/10.1007/978-3-030-40783-4_5
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........8f72a673c51dbe3f02963ea8c37676dc
قاعدة البيانات: OpenAIRE