As an emerging biomedical image processing technology, medical image segmentation has
made great contributions to sustainable medical care. Now it has become an important …

X-ray computer tomography (CT) is fast becoming an accepted tool within the materials
science community for the acquisition of 3D images. Here the authors review the current …

Agricultural productivity is something on which economy highly depends. This is the one of
the reasons that disease detection in plants plays an important role in agriculture field, as …

Abstract Background and Objective Chest X-ray (CXR) is one of the most used imaging
techniques for detection and diagnosis of pulmonary diseases. A critical component in any …

This paper presents a review of automated image registration methodologies that have been
used in the medical field. The aim of this paper is to be an introduction to the field, provide …

Skin diseases remain a major cause of disability worldwide and contribute approximately
1.79% of the global burden of disease measured in disability-adjusted life years. In the …

Artificial neural networks (ANN) have been applied effectively in numerous fields for the aim
of prediction, knowledge discovery, classification, time series analysis, modeling, etc. ANN …

This work presents a systematic review of techniques for the 3D automatic detection of
pulmonary nodules in computerized-tomography (CT) images. Its main goals are to analyze …

For advanced materials characterization, a novel and extremely effective approach of
pattern recognition in optical microscopic images of steels is demonstrated. It is based on …

In this work, the authors develop a working software‐based approach named 'linearly
quantile separated histogram equalisation‐grey relational analysis' for mammogram image …