Retinal vessel segmentation algorithms are a fundamental component of automatic retinal
disease screening systems. This work examines the blood vessel segmentation …

The visual exploration of retinal blood vessels assists ophthalmologists in the diagnoses of
different abnormalities of the eyes such as diabetic retinopathy, glaucoma, cardiovascular …

Early ocular disease diagnosis is an important field in medical research. From the image
processing point of view, many strategies and algorithms have been developed to deal with …

Several results on instability in nonhomogeneous architectures able to generate Turing
patterns are presented. The approach makes use of the continuity theorem regarding the …

This paper overviews some massively parallel topographic cellular computational
approaches proposed for contour localization and tracking. When implemented on a focal …

This paper introduces a binary‐based on‐chip cellular neural network (CNN) solution for
pixel‐level snakes. Every cell in the array comprises circuitry for B/W and grey‐scale …

This paper addresses the extension of applications covered by binary CNN-based
architectures. The work is focused on diffusion-like tasks on binary images, traditionally …

With the development of digital imaging and computational efficiency, imageprocessing,
analysis, and modeling techniques are increasingly used in all fields of medical sciences …

The aim of this communication is to review and discuss several aspects regarding pattern
formation and mode competition in homogeneous and nonhomogeneous Cellular Neural …

This paper introduces a methodology to reduce the number of coefficient circuits in a
DTCNN cell without penalty at application level. Trade-offs like area-processing time, and …