In the framework of computer-aided diagnosis of breast cancer, many systems were
designed for the detection, the classification and/or the content-based mammogram retrieval …

Purpose The study aims to analyze the barriers in the adoption of Industry 4.0 (I4. 0)
practices in terms of prioritization, cluster formation and clustering of empirical responses …

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 …

Breast cancer is a leading killer disease among women of the new era. As per the
GLOBOCAN project, the breast cancer incidences showed an increase from 22.2 to 27 …

In recent times, technological advancements have remarkably improved picture archiving
and communication system (PACS) capabilities beyond their conventional use in radiology …

We present a new study of gender prediction using eye movements of prepubescent
children aged 9--10. Despite previous research indicating that gender differences in eye …

Breast cancer is a leading cause of death among women. At the early stage, no obvious
symptoms were identified in breast cancer patients. Accurate detection of breast cancer at …

Breast cancer remains a significant global health concern, necessitating efficient methods
for early detection and screening. This study conducts a comprehensive comparative …

A Disturbance Storm Time (Dst) index represents the geomagnetic storm strength due to
interaction of the Sun towards Earth in the space weather. Formation of the Dst contributed …

In this paper, we report the first stable results on gender prediction via eye movements. We
use a dataset with images of faces as stimuli and with a large number of 370 participants …