| URI | http://purl.tuc.gr/dl/dias/5F20CA3D-1C95-4A91-BEFA-C2F1EF4EA6CE | - |
| Identifier | https://doi.org/10.1016/j.eswa.2007.08.089 | - |
| Language | en | - |
| Extent | 12 pages | en |
| Title | Particle swarm optimization for pap-smear diagnosis | en |
| Creator | Marinakis Ioannis | en |
| Creator | Μαρινακης Ιωαννης | el |
| Creator | Marinaki Magdalini | en |
| Creator | Μαρινακη Μαγδαληνη | el |
| Creator | Dounias, G | en |
| Publisher | Elsevier | en |
| Content Summary | The term pap-smear refers to samples of human cells stained by the so-called Papanicolaou method. The purpose of the Papanicolaou method is to diagnose pre-cancerous cell changes before they progress to invasive carcinoma. In this paper, a metaheuristic algorithm is proposed in order to classify the cells. Two databases are used, constructed in different times by expert Medical Doctors, consisting of 917 and 500 images of pap-smear cells, respectively. Each cell is described by 20 numerical features and the cells fall into seven classes but a minimal requirement is to separate normal from abnormal cells which is a two-class problem. For finding the best possible performing feature subset, an effective particle swarm optimization scheme is proposed. This algorithmic scheme is combined with a number of nearest neighbor based classifiers. Results show that classification accuracy generally outperforms other previously applied intelligent approaches. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-05 | - |
| Date of Publication | 2008 | - |
| Subject | Pap smear | en |
| Subject | Papanicolaou smear | en |
| Subject | Papanicolaou test | en |
| Subject | pap test | en |
| Subject | pap smear | en |
| Subject | papanicolaou smear | en |
| Subject | papanicolaou test | en |
| Bibliographic Citation | Y. Marinakis, M. Marinaki , G. Dounias, "Particle swarm optimization for pap-smear diagnosis, "Expert Syst.with Appl. ,vol. 35,no.4, pp.1645-1656,Nov. 2008.doi:10.1016/j.eswa.2007.08.089 | en |