Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Esra Sivari"'
Autor:
Esra Sivari, Guler Burcu Senirkentli, Erkan Bostanci, Mehmet Serdar Guzel, Koray Acici, Tunc Asuroglu
Publikováno v:
Diagnostics, Vol 13, Iss 15, p 2512 (2023)
Deep learning and diagnostic applications in oral and dental health have received significant attention recently. In this review, studies applying deep learning to diagnose anomalies and diseases in dental image material were systematically compiled,
Externí odkaz:
https://doaj.org/article/73e60be2b4f14e418168b12d1119ef71
Autor:
Esra Sivari, Erkan Bostanci, Mehmet Serdar Guzel, Koray Acici, Tunc Asuroglu, Tulin Ercelebi Ayyildiz
Publikováno v:
Diagnostics, Vol 13, Iss 4, p 720 (2023)
Endoscopic procedures for diagnosing gastrointestinal tract findings depend on specialist experience and inter-observer variability. This variability can cause minor lesions to be missed and prevent early diagnosis. In this study, deep learning-based
Externí odkaz:
https://doaj.org/article/a26cc668c2bd4a89bb2ad9e201e85147
Autor:
Esra Sivari, Selim Sürücü
Publikováno v:
Journal of Computer & Electrical and Electronics Engineering Sciences. 1:5-9
Aims: The interruption of blood flow to the heart muscle is called a heart attack. During a heart attack, the risk of permanent damage increases with every second the heart tissue cannot receive enough blood. If early and appropriate intervention is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::455287a39a7a149aa832b6c8725a2036
https://doi.org/10.51271/jceees-0002
https://doi.org/10.51271/jceees-0002
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e99312b2adb8eeb51a86832b31b4f0a
https://doi.org/10.2139/ssrn.4173707
https://doi.org/10.2139/ssrn.4173707
Autor:
Zafer Civelek, Esra Sivari
Publikováno v:
El-Cezeri Fen ve Mühendislik Dergisi.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a3a1089ea09d1cd00d2e08f181287c3
https://doi.org/10.31202/ecjse.764719
https://doi.org/10.31202/ecjse.764719
Autor:
Zafer Civelek, Esra Sivari
Publikováno v:
Volume: 6, Issue: 3 808-816
El-Cezeri
El-Cezeri
Fuzzy logic is the type of logic that definescorrectness, error and rating of classical logic. It assists specialists inhealthcare sector in solving various problems. Initial doses of anestheticmedication prescriptions are given by specialists based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f880e93c8cac2953bf2f2a51a64c2df
https://dergipark.org.tr/tr/pub/ecjse/issue/49096/581844
https://dergipark.org.tr/tr/pub/ecjse/issue/49096/581844
