Deep learning has made significant advancements in recent years. The technology is
rapidly evolving and has been used in numerous automated applications with minimal loss …

Abstract Convolutional Neural Networks (CNNs) are opening for unprecedented scenarios
in fields where designing effective features is tedious even for domain experts. This is the …

Breast tumor is one of the major cause of death among women all over the world.
Ultrasound imaging-based breast abnormality detection and classification play a vital role to …

Computer aided detection (CADe) and computer aided diagnostic (CADx) systems are
ongoing research areas for identifying lesions among complex inner structures with different …

Proactive treatment of cancer, characterized by early detection and intervention is one of the
main focus of the next-generation healthcare systems for predictive, timely detection and …

The recognition of Balinese carving motifs is challenging due to the highly varying and
interrelated motifs of Balinese carvings and in addition to the scantiness of Balinese carving …

In the process of using ground penetrating radar (GPR) to locate concealed power facilities
such as underground cables, it is difficult to search the hyperbola generated by concealed …

Image processing has become a vital piece of technology in contemporary medicine,
transforming many facets of medical study, diagnosis, and treatment. An extensive analysis …