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

Corn diseases significantly impact crop yields, posing a major challenge to agricultural
productivity. Early and accurate detection of these diseases is crucial for effective …

Recently, there has been a notable surge of interest in scientific research regarding spectral
images. The potential of these images to revolutionize the digital photography industry, like …

This study utilizes spectral analysis to quantify water pollutants by analyzing the images of
biological oxygen demand (BOD). In this study, a total of 2545 images depicting water …

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 …

The ample amount of information from hyperspectral image (HSI) bands allows the non-
destructive detection and recognition of earth objects. However, dimensionality reduction …

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 …

Background/Objectives: Head and neck cancer (HNC), predominantly squamous cell
carcinoma (SCC), presents a significant global health burden. Conventional diagnostic …

Band selection is a common approach to reduce the data dimensionality of hyperspectral
imagery. It extracts several bands of importance in some sense by taking advantage of high …