دورية أكاديمية

Comparative performance analysis of machine learning classifiers in detection of childhood pneumonia using chest radiographs

التفاصيل البيبلوغرافية
العنوان: Comparative performance analysis of machine learning classifiers in detection of childhood pneumonia using chest radiographs
المؤلفون: Sousa, Rafael Teixeira, Marques, Oge, Soares, Fabrizzio Alphonsus Alves de Melo Nunes, Sene Júnior, Iwens Gervasio, Oliveira, Leandro Luis Galdino de, Spoto, Edmundo Sérgio
بيانات النشر: Estados unidos
Instituto de Informática - INF (RG)
سنة النشر: 2013
المجموعة: Repositório da Universidade Federal de Goiás (UFG)
مصطلحات موضوعية: Machine Learning, Computer-aided diagnosis (CAD), Childhood pneumonia
الوصف: This work extends PneumoCAD, a Computer-Aided Diagnosis system for detecting pneumonia in infants using radiographic images [1], with the aim of improving the system’s accuracy and robustness. We implement and compare three contemporary machine learning classifiers, namely: Na¨ıve Bayes, K-Nearest Neighbor (KNN), and Support Vector Machines (SVM). Results of our experiments demonstrate that the SVM classifier produces the best overall results.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: SOUSA, Rafael T.; MARQUES, Oge; SOARES, Fabrizzio Alphonsus A. M. N.; SENE JÚNIOR, Iwens I. G.; OLIVEIRA, Leandro L. G.; SPOTO, Edmundo S. Comparative performance analysis of machine learning classifiers in detection of childhood pneumonia using chest radiographs. Procedia Computer Science, New York, v. 18, n. 2013, p. 2579-2582, 2013.; e- 1877-0509; http://repositorio.bc.ufg.br/tede/handle/ri/15079Test
DOI: 10.1016/j.procs.2013.05.444
الإتاحة: https://doi.org/10.1016/j.procs.2013.05.444Test
http://repositorio.bc.ufg.br/tede/handle/ri/15079Test
حقوق: Acesso Aberto
رقم الانضمام: edsbas.BBDB6B6D
قاعدة البيانات: BASE