Many studies have recently used several deep learning methods for detecting skin cancer.
However, hyperspectral imaging (HSI) is a noninvasive optics system that can obtain …

Simple Summary Recent advancements in this field have shown continuous improvement,
with CAD algorithms enhancing diagnosis accuracy. The study systematically analyzes …

In this study, a snapshot-based hyperspectral imaging (HSI) algorithm that converts RGB
images to HSI images is designed using the Raspberry Pi environment. A Windows-based …

One of the leading causes of cancer deaths is esophageal cancer (EC) because identifying
it in early stage is challenging. Computer-aided diagnosis (CAD) could detect the early …

Brain cancer is a substantial factor in the mortality associated with cancer, presenting
difficulties in the timely identification of the disease. The precision of diagnoses is …

The biological world has produced a wealth of complex photonic materials offering
abundant design inspirations. However, creating these intricate photonic structures …

The clinical signs and symptoms of esophageal cancer (EC) are often not discernible until
the intermediate or advanced phases. The detection of EC in advanced stages significantly …

From the farthest reaches of the universe to our own galaxy, there are many different
celestial bodies that, even though they are very different, each have their own way of being …

This study introduces a novel method for detecting and measuring transparent glass sheets
using hyperspectral imaging (HSI). The main goal of this study is to create a conversion …

Narrow-band imaging (NBI) is more efficient in detecting early gastrointestinal cancer than
white light imaging (WLI). NBI technology is available only in conventional endoscopy, but …