The aim of this paper is to develop accurate and reliable methods for automated detection of the edges of the lung by a knowledge-based approach. First, the system initialises the...
We present a new graph-theoretic approach to the problem of image segmentation. Our method uses local criteria and yet produces results that reflect global properties of the image...
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
In this paper, we propose a new 3D framework to identify and segment VBs and TBs in clinical computed tomography (CT) images without any user intervention. The Matched filter is e...
Melih S. Aslan, Asem M. Ali, Ham Rara, Aly A. Fara...
One of the main goals in Content Based Image Retrieval (CBIR) is to incorporate shape into the process in a reliable manner. In order to overcome the difficulties of directly obta...