Senior Design Project - Bilkent University

Cagiltay, B., Can, M. E., Gokalp, I., & Sezginer, C. (2018, October). MedIPO (Medical Image Processing Online)-A Web Based Decision Support and Educational Tool for Medical Image Processing. In E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1517-1523). Association for the Advancement of Computing in Education (AACE).

Mert Ege Can

Bengisu Çağıltay

İmge Gökalp

Caner Sezginer

Supervisor: Çiğdem Gündüz Demir

Jury Members: Selim Aksoy, Özgür Ulusoy

Innovation Expert: Deniz Katırcıoğlu-Öztürk

Medical Image Processing Online (MedIPO) is a web based application which offers their users a quick and easy way to upload, view, process and analyze MR images online. The system aims to provide an online viewer and image analyzer for medical doctors by providing a detailed and intractable interface.

The system also offers a semi-automated segmentation tool that enables a medical doctor to specify the region of interest in one slice of the MR image and it conducts a semi-automated segmentation of this region over the rest of the slices. The semi-automated segmentation highlights any abnormal mass tissue in the MR images. The system also allows the user to enter manual annotation and corrections in addition to the segmentation results.