Data mining (DM) consists in analysing a set of observations to find unsuspected
relationships and then summarising the data in new ways that are both understandable and …

Objectives The aim of this study was to test whether texture analysis and machine learning
enable the detection of myocardial infarction (MI) on non–contrast-enhanced low radiation …

Early prediction of breast density is clinically significant as there is an association between
the risk of breast cancer development and breast density. In the present work, the …

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 …

Flavonoids have demonstrated in vivo and in vitro leishmanicidal, trypanocidal, antioxidant,
and prooxidant properties. The chemotherapy of trypanosomiasis and leishmaniasis lacks …

This paper proposes a computer-aided diagnosis system to analyze breast tissues in
mammograms, which performs two main tasks: breast tissue classification within a region of …

Females are approximately half of the total population worldwide, and most of them are
victims of breast cancer (BC). Computer‐aided diagnosis (CAD) frameworks can help …

One of the very common forms of cancer found in women all over the world these days is
Breast cancer. Mammography is regarded as the general way to detect this form of cancer at …

This work presents the automatic classification of mammographic breast tissue density as it
plays a crucial role in morphological analysis for abnormality detection. The proposed work …

Data Mining (DM) is a set of techniques that allow to analyse data from different perspectives
and summarising it into useful information. Data mining has been increasingly used in …