Detection and Segmentation of Subdural Hemorrhage on Head CT Images

TH Gençtürk, FİK GülağIz, İİ Kaya - IEEE Access, 2024 - ieeexplore.ieee.org
In today's world, there has been a significant increase in the diversity of data sources and
the volume of data. This situation especially necessitates the use of technologies such as …

Detection of the Quality of Zivzik Pomegranate Grown in Siirt Using Deep Learning Methods

Y BİLGEN, M Kaya - 2024 Innovations in Intelligent Systems …, 2024 - ieeexplore.ieee.org
This study aims to determine the quality of the Zivzik pomegranate, a fruit unique to the Siirt
region whose quality can only be understood by experts engaged in this business with deep …

PERFORMANCE EVALUATION OF DIFFERENT DEEP LEARNING MODELS FOR CLASSIFYING ISCHEMIC, HEMORRHAGIC, AND NORMAL COMPUTED …

M Altıntaş, MÜ Öziç - Konya Journal of Engineering Sciences, 2024 - dergipark.org.tr
A stroke is a case of damage to a brain area due to a sudden decrease or complete
cessation of blood flow to the brain. The interruption or reduction of the transportation of …

Hafif Bir Derin Öğrenme Modeli İle Bilgisayarlı Tomografi Görüntülerinden Beyin Kanaması Tespiti

EB Altun, S Engin, E Başkaya, F Şafak… - Ordu Üniversitesi Bilim …, 2024 - dergipark.org.tr
Beyin dokusu içine kan sızması durumu olarak ifade edilen beyin kanaması, acil tıbbi
müdahale gerektiren nörolojik bir komplikasyondur. Bu sebeple, beyin kanamasında erken …