data augmentation

Analyzing the Impact of Data Augmentation on Tumor Detection and Classification in Mammograms (2025)

Hybrid Artificial Intelligence Systems Authors Madalina Dicu, Enol García González, Camelia Chira, José R. Villar Abstract Breast cancer remains one of the leading causes of mortality among women worldwide, making early detection crucial for improving survival rates. Deep learning-based approaches have shown remarkable potential in automating tumor detection from mammographic images; however, their effectiveness…

The Impact of Augmentation Techniques on Icon Detection Using Machine Learning Techniques (2024)

Artificial Intelligence Applications and Innovations Authors Madalina Dicu, Camelia Chira Abstract This article examines the use of image augmentation techniques to improve icon detection in mobile interfaces, a critical task due to the small size of graphical user interface (GUI) elements and the insufficiency of comprehensive datasets. It evaluates whether diversifying the dataset or…

The Impact of Data Annotations on the Performance of Object Detection Models in Icon Detection for GUI Images (2024)

Hybrid Artificial Intelligence Systems Authors Madalina Dicu, Enol García González, Camelia Chira, J. Villar Abstract Detecting icons in Graphical User Interfaces (GUIs) is essential for effective application automation. This study examines the impact of different annotation methods on the performance of object detection models for icon detection in GUIs. We compared manual, automated, and hybrid annotations…