Version 1
: Received: 30 May 2018 / Approved: 30 May 2018 / Online: 30 May 2018 (10:23:57 CEST)
How to cite:
Yasar, A.; Saritas, I.; Korkmaz, H. Determination of Intestinal Mass by Region Growing Method. Preprints2018, 2018050449. https://doi.org/10.20944/preprints201805.0449.v1
Yasar, A.; Saritas, I.; Korkmaz, H. Determination of Intestinal Mass by Region Growing Method. Preprints 2018, 2018050449. https://doi.org/10.20944/preprints201805.0449.v1
Yasar, A.; Saritas, I.; Korkmaz, H. Determination of Intestinal Mass by Region Growing Method. Preprints2018, 2018050449. https://doi.org/10.20944/preprints201805.0449.v1
APA Style
Yasar, A., Saritas, I., & Korkmaz, H. (2018). Determination of Intestinal Mass by Region Growing Method. Preprints. https://doi.org/10.20944/preprints201805.0449.v1
Chicago/Turabian Style
Yasar, A., Ismail Saritas and Huseyin Korkmaz. 2018 "Determination of Intestinal Mass by Region Growing Method" Preprints. https://doi.org/10.20944/preprints201805.0449.v1
Abstract
Image processing is a field of which its popularity increases and continues and, that grows dynamically with new technologies. Nowadays, image processing finds itself in use in almost every field. One of these uses is undoubtedly in the field of medicine, where diagnosis and treatment planning are made from images and, which is constantly changing with newly developed techniques. Of course, the most important factor in using this so widely in the medical field is the acquisition of images on every medical field. With the help of these images, the complaints can be seen more easily and the doctor can follow a path in the treatment of the disease. In our study, we used the Region Growing segmentation method to detect the intestinal mass. This study compares the area determined by the specialist with the area obtained with the segmentation process and, it is seen that the created software system can be used as an auxiliary system to specialist doctors.
Keywords
Computer Aided Diagnosis (CAD); image processing; region growing segmentation; intestinal mass
Subject
Computer Science and Mathematics, Software
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.