Plant diseases affect the growth of their respective species, therefore their early identification
is very important. Many Machine Learning (ML) models have been employed for the …

Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

Image sensors with internal computing capability enable in-sensor computing that can
significantly reduce the communication latency and power consumption for machine vision …

Artificial intelligence technology has advanced rapidly in recent years and has the potential
to improve healthcare outcomes. However, technology uptake will be largely driven by …

A World Health Organization (WHO) Feb 2018 report has recently shown that mortality rate
due to brain or central nervous system (CNS) cancer is the highest in the Asian continent. It …

Modern hyperspectral imaging systems produce huge datasets potentially conveying a great
abundance of information; such a resource, however, poses many challenges in the …

The field of artificial intelligence (AI) has experienced spectacular development and growth
over the past two decades. With recent progress in digitized data acquisition, machine …

Background This paper reviews recent literature employing Artificial Intelligence/Machine
Learning (AI/ML) methods for diagnostic evaluation of head and neck cancers (HNC) using …

Advancements in computer vision and artificial intelligence (AI) carry the potential to make
significant contributions to health care, particularly in diagnostic specialties such as …

In contrast to conventional optical imaging modalities, hyperspectral imaging (HSI) is able to
capture much more information from a certain scene, both within and beyond the visual …