Three-dimensional computerized characterization of biomedical solid textures is key to large-
scale and high-throughput screening of imaging data. Such data increasingly become …

Breast cancer is the most prevalent cancer that affects women all over the world. Early
detection and treatment of breast cancer could decline the mortality rate. Some issues such …

In this paper, we propose a mammogram classification scheme to classify the breast tissues
as normal, benign or malignant. Feature matrix is generated using GLCM to all the detailed …

Gray Level Co-occurrence Matrices (GLCM) are one of the earliest techniques used for
image texture analysis. In this paper we defined a new feature called trace extracted from …

Texture analysis describes a variety of image analysis techniques that quantify the variation
in intensity and pattern. This paper provides an overview of several texture analysis …

Cervical cancer is one of the vital and most frequent cancers, but can be cured effectively if
diagnosed in the early stage. This is a novel effort towards effective characterization of cervix …

Colorectal cancer (CRC) is one of the widely happening cancers among men and women.
This cancer, which is also known as bowel cancer, affects the human large intestine …

The research presented in this article is aimed at the development of an automated imaging
system for classification of normal tissues in medical images obtained from computed …

Radiomics is being explored for potential applications in radiation therapy. How various
imaging protocols affect quantitative image features is currently a highly active area of …

With the dramatic increase of 3D imaging techniques, there is a great demand for new
approaches in texture analysis of volumetric data. In this paper, we present a new approach …