Purpose: To automate the segmentation of retinal layers, we propose DeepRetina, a method
based on deep neural networks. Methods: DeepRetina uses the improved Xception65 to …

This paper presents a graph based method to automatically and accurately segment the
lumen borders from optical coherence tomography (OCT) images. The proposed method …

Automatic vessel lumen segmentation is a very challenging vision task, yet it is extremely
important. Automatic vessel lumen segmentation helps in better diagnostics and therapy of …

In this chapter, we discuss using a shortest path methodology combined with a region-based
selection, for a user assisted segmentation, as either an enclosed object or as an open …

In this paper, we present an approach for user assisted segmentation of lumen border in
OCT images. This interactive segmentation is performed by a combination of point based …

We present a fully automatic segmentation approach to detect the media–adventitia border
in intravascular ultrasound (IVUS) and the lumen border in optical tomography (OCT) …

This monograph has been written as an introductory book on structural phase transitions
and related mesoscopic disorder, presenting the soliton theory applied to modulated …

Cardiovascular disease is one of the leading causes of the morbidity and mortality in the
western world today. Many different imaging modalities are in place today to diagnose and …