| dc.contributor.author | Olgun, Deniz Cebi | |
| dc.contributor.author | Tartar, Ahmet | |
| dc.contributor.author | Kilic, Niyazi | |
| dc.contributor.author | Akan, Aydin | |
| dc.date.accessioned | 2021-03-05T20:45:34Z | |
| dc.date.available | 2021-03-05T20:45:34Z | |
| dc.identifier.citation | Tartar A., Kilic N., Olgun D. C. , Akan A., "A new computer-aided detection system for pulmonary nodules", 21st Signal Processing and Communications Applications Conference (SIU), CYPRUS, 24 - 26 Nisan 2013 | |
| dc.identifier.other | vv_1032021 | |
| dc.identifier.other | av_d5b7da9e-0734-41b0-ae8b-fa8e67a3f540 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12627/141024 | |
| dc.identifier.uri | https://doi.org/10.1109/siu.2013.6531293 | |
| dc.description.abstract | Computer-aided detection (CAD) systems can help radiologists in early stage diagnosing of lung abnormalities. In this study, a new CAD system is presented by using wavelet transform for pulmonary nodule detection. Classification is performed by using kernels of support vector machines. Results are compared to similar works in the literature. Proposed CAD system results in 82.1% sensitivity. | |
| dc.language.iso | eng | |
| dc.subject | Mühendislik ve Teknoloji | |
| dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
| dc.subject | Sinyal İşleme | |
| dc.subject | TELEKOMÜNİKASYON | |
| dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
| dc.subject | Mühendislik | |
| dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
| dc.title | A new computer-aided detection system for pulmonary nodules | |
| dc.type | Bildiri | |
| dc.contributor.department | İstanbul Üniversitesi , , | |
| dc.contributor.firstauthorID | 140976 | |
