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GEAKDES: Gerçek Zamanlı Deprem Afet / Süreç Yönetimi İçin Yapay Zekâ Temelli Akıllı Karar Destek Sistemi
(2024) Dedeturk, Bilge Kagan; Özmen, Mihrimah; Yüksel, Muhammed Burak; Akin, Muge; Ozcan, Orkan
EEEAG - Elektri̇k, Elektroni̇k Ve Enformati̇k Araştirma Destek Grubu
Artificial Intelligence Assisted Prognostic Marker Determination from Colonoscopy and Histopathology Images for Colon Polyps
(2023) Doğan, Serkan; Doğan, Refika Sultan; Aydın, Zafer; Akay, Ebru; Güzel, Ömer Faruk; Yilmaz, Bulent; Taşdemir, Sena Büşra Yengeç
In this project our goal is to develop a computer vision and artificial intelligence-based system to be used in the real-time or offline differentiation (and characterization) of colon polyps that are known to be the precursors of colon cancer. The system will use image/video processing, machine learning and deep learning approaches. It is expected to provide a real-time optical biopsy opportunity to the endoscopists to examine the polyps in terms of type, phase, malignancy potential, etc. during the colonoscopy procedure without a need to send the extracted tissue to the pathology clinic. The system will allow to make sense of the molecular level of the tissues from the colonoscopy and histopathology images.

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