Images and other types of unstructural data in the medical domain are rapidly becoming
data-intensive. Actionable insights from these complex data present new opportunities but …

Image segmentation is an important step in many computer vision algorithms. The objective
of segmentation is to obtained an optimal region of convergences (ROC). Error in this stage …

Discrete Fourier transform (DFT) is the most widely used method for determining the
frequency spectra of digital signals. In this paper, a 2D sliding DFT (2D SDFT) algorithm is …

Artificial Intelligence (AI) has played a significant role in improving decision-making within
the healthcare system. AI includes machine learning, which encompasses a subset called …

Despite the large number of techniques proposed in recent years, accurate segmentation of
digital images remains a challenging task for automated computer algorithms. Approaches …

Medical image segmentation is considered a very important task for diagnostic and
treatment-planning purposes. Accurate segmentation of medical images helps clinicians to …

Image processing is a vast area in the research field nowadays. This paper is a fleeting
review on various technologies implemented to satisfy different image processing tasks like …

Image segmentation is a fundamental process employed in many applications of pattern
recognition, video analysis, computer vision and image understanding in order to allow …

The speckle noise commonly occurs in ultrasound imaging based applications. Due to the
multiplicative nature, speckle noise deteriorates the visual quality of ultrasound images. This …

An introduction to computational intelligence in healthcare: New directions Page 11 1 An
Introduction to Computational Intelligence in Healthcare: New Directions M. Sordo1, S. Vaidya2 …