The system also allows the user to enter manual annotation and corrections in addition to the segmentation results. The semi-automated segmentation highlights any abnormal mass tissue in the MR images. 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 system aims to provide an online viewer and image analyzer for medical doctors by providing a detailed and intractable interface. 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. Innovation Expert: Deniz Katırcıoğlu-Öztürk Details Association for the Advancement of Computing in Education (AACE). In E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. However, this task is time consuming and prone to errors as it requires a detailed visual inspection and interpretation of a pathologist. Download PDF Abstract: The Henles fiber layer (HFL) in the retina carries valuable information on the macular condition of an eye. Gunduz-Demir Published Computer Science IEEE Transactions on Medical Imaging Histopathological examination is today’s gold standard for cancer diagnosis. MedIPO (Medical Image Processing Online)-A Web Based Decision Support and Educational Tool for Medical Image Processing. Authors: Selahattin Cansiz, Cem Kesim, Sevval Nur Bektas, Zeynep Kulali, Murat Hasanreisoglu, Cigdem Gunduz-Demir. Senior Design Project - Bilkent UniversityĬagiltay, B., Can, M. Cigdem Gunduz-Demir is with the Department of Computer Engi-neering and Neuroscience Graduate Program, Bilkent University, 06800 Ankara, Turkey (e-mail: ).
0 kommentar(er)
