Gastric Cancer Regional Detection System
Yazarlar (4)
Doç. Dr. Ali Berkan URAL Kafkas Üniversitesi, Türkiye
Prof. Dr. Fırat Hardalaç Gazi Üniversitesi, Türkiye
Selami Serhatlıoğlu
Fırat Üniversitesi, Türkiye
Fırat Üniversitesi, Türkiye
Prof. Dr. Mustafa Necmi İlhan Gazi Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | JOURNAL OF MEDICAL SYSTEMS (Q2) | ||
| Dergi ISSN | 0148-5598 Dergi Bilgileri (2016) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 01-2016 |
| Cilt / Sayı / Sayfa | 40 / 1 / 31–0 | DOI | 10.1007/s10916-015-0399-8 |
| Makale Linki | https://link.springer.com/article/10.1007/s10916-015-0399-8 | ||
| UAK Araştırma Alanları |
Yapay Zeka
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| Özet |
| In this study, a novel system was created to localize cancerous regions for stomach images which were taken with computed tomography(CT). The aim was to determine the coordinates of cancerous regions which spread in the stomach area in the color space with using this system. Also, to limit these areas with a high accuracy ratio and to feedback to the user of this system were the other objectives. This integration was performed with using energy mapping, analysis methods and multiple image processing methods and the system which was consisted from these advanced algorithms was appeared. For this work, in the range of 25–40 years and when gender discrimination was insignificant, 30 volunteer patients were chosen. During the formation of the system, to exalt the accuracy to the maximum level, 2 main stages were followed up. First, in the system, advanced image processing methods were processed … |
| Anahtar Kelimeler |
| Cancer | Gastric cancer | Image processing | Image acquisition | Image filtering | Image thresholding | Power Spectrum Density (PSD) analysis |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Google Scholar | 5 |