Breast cancer is one of the most common death causes amongst women all over the world.
Early detection of breast cancer plays a critical role in increasing the survival rate. Various …

Computer-aided diagnosis (CAD) offers assistance to radiologists in the interpretation of
medical images. A CAD system learns the nature of different tissues and uses this …

Breast cancer is one of the most prevalent cancer types with a high mortality rate in women
worldwide. This devastating cancer still represents a worldwide public health concern in …

To augment the classification accuracy of the ultrasound computer-aided diagnosis (CAD)
for breast tumor detection based on texture feature, we proposed to extract texture feature …

INTRODUCTION: One of the challenges in developing Computer-Aided Diagnosis (CAD)
systems is their accurate and comprehensive assessment. This paper presents the …

Contrast-enhanced spectral mammography is one of the latest diagnostic tool for breast
care; therefore, the literature is poor in radiomics image analysis useful to drive the …

Assessing the quality of a reconstructed hyperspectral image (HSI) is of significance for
restoration and super-resolution. Current image quality assessment methods such as peak …

This paper is focusing on feature extraction methods for malignant masses in mammograms
and its classification. It proposes seven texture features for GLCM method and to be applied …

In computer-aided diagnosis one of the crucial steps to classify suspicious lesions is the
extraction of features. Texture analysis methods have been used in the analysis and …

Background Mammography is one of the most popular tools for early detection of breast
cancer. Contour of breast mass in mammography is very important information to distinguish …