Ural Koç, Ebru Akçapınar Sezer, Yaşar Alper Özkaya, Yasin Yarbay, Muhammed Said Beşler, Onur Taydaş, Ahmet Yalçın, Şehnaz Evrimler, Hüseyin Alper Kızıloğlu, Uğur Kesimal, Dilara Atasoy, Meltem Oruç, Mustafa Ertuğrul, Emrah Karakaş, Fatih Karademir, Nihat Barış Sebik, Yasemin Topuz, Mehmet Emin Aktan, Özgür Sezer, Şahin Aydın, Songül Varlı, Erhan Akdoğan, Mustafa Mahir Ülgü, Şuayip Birinci
OBJECTIVES: The artificial intelligence competition in healthcare at TEKNOFEST-2022 provided a platform to address the complex multi-class classification challenge of abdominal emergencies using computer vision techniques. This manuscript aimed to comprehensively present the methodologies for data preparation, annotation procedures, and rigorous evaluation metrics. Moreover, it was conducted to introduce a meticulously curated abdominal emergencies data set to the researchers. METHODS: The data set underwent a comprehensive central screening procedure employing diverse algorithms extracted from the e-Nabız (Pulse) and National Teleradiology System of the Republic of Türkiye, Ministry of Health...
November 10, 2023: European Radiology