ARAMA SONUÇLARI

Toplam 7 adet sonuçtan 7 tanesi görüntülenmektedir.

Arama









Yıllara göre arama

Özel Aralık Girişi

Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal Vessels
IEEE ACCESS, Vol. 11, Ocak 2023, s. 12, ISSN: 2169-3536
DEARİ SABRİ, ULUKAYA SEZER, ÖKSÜZ İLKAY
ANALYSIS OF OPHTHALMIC DISORDERS ON RETINAL VESSELS USING DEEP LEARNING SEGMENTATION METHODS
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN INFORMATION SYSTEMS AND ENGINEERING (IJSRISE), Vol. 3, No. 2, Ağustos 2017, s. 1-4, ISSN: 2380-8128
ARIBAŞ ERKE,DAĞLARLI EVREN
Erke Arıbaş Özgün Makale
Analysis of Ophthalmic Disorders on Retinal Vessels Using Deep Learning Segmentation Methods
The Fourth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2016), 2 Kasım 2016
ARIBAŞ ERKE,DAĞLARLI EVREN
Evren Dağlarlı Tam metin bildiri
ANALYSIS OF OPHTHALMIC DISORDERS ON RETINAL VESSELS USING DEEP LEARNING SEGMENTATION METHODS
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN INFORMATION SYSTEMS AND ENGINEERING (IJSRISE), Vol. 3, No. 2, Ağustos 2017, s. 1-4, ISSN: 2380-8128
ARIBAŞ ERKE,DAĞLARLI EVREN
Evren Dağlarlı Özgün Makale
Map estimation of oxygen tension in retinal vessels with phosphorescence lifetime imaging
2012 IEEE International Symposium on Biomedical Imaging
I. YİLDİRİM, R. ANSARİ
İsa Yıldırım Tam metin bildiri
Application of a Modified Regularization Procedure for Estimating Oxygen Tension in Large Retinal Blood Vessels
2010 SPIE International Symposium on Medical Imaging
I. YİLDİRİM, R. ANSARİ, I. S. YETİK, M. SHAHİDİ
İsa Yıldırım Tam metin bildiri
Analysis of Ophthalmic Disorders on Retinal Vessels Using Deep Learning Segmentation Methods
The Fourth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2016), 2 Kasım 2016
ARIBAŞ ERKE,DAĞLARLI EVREN
Erke Arıbaş Tam metin bildiri

İLETİŞİM BİLGİLERİ

İstanbul Teknik Üniversitesi Rektörlüğü İTÜ Ayazağa Kampüsü Rektörlük Binası, Maslak-Sarıyer / İstanbul Tel: +90 212 285 3930