Providing an improved technique which can assist pathologists in correctly classifying
meningioma tumours with a significant accuracy is our main objective. The proposed …

Tissue texture is known to exhibit a heterogeneous or non-stationary nature; therefore using
a single resolution approach for optimum classification might not suffice. A clinical decision …

In the field of quantitative microscopy, textural information plays a significant role very often
in tissue characterization and diagnosis, in addition to morphology and intensity. The aim of …

This work presents a quantitative microscopic approach for discriminating oral submucous
fibrosis (OSF) from normal oral mucosa (NOM) in respect to morphological and textural …

In the field of quantitative microscopy, textural information plays a significant role very often
in tissue characterization and diagnosis, in addition to morphology and intensity. The …

Over the past decade, computer‐aided diagnosis is rapidly growing due to the availability of
patient data, sophisticated image acquisition tools and advancement in image processing …

Medical imaging represents the utilisation of technology in biology for the purpose of
noninvasively revealing the internal structure of the organs of the human body. It is a way to …

This research work presents a quantitative approach for analysis of histomorphometric
features of the basal cell nuclei in respect to their size, shape and intensity of staining, from …

Digital image processing enables synthesis of images for characterisation of properties.
Image segmentation is the most critical functions in image analysis and processing …

Invasive growth of cancer cells is a complex process involving specific interactions between
tumour cells and the orderly integrated complexes of the extracellular matrix. Basement …