In image processing, multi-level thresholding is a sophisticated technique used to delineate
regions of interest in images by identifying intensity levels that differentiate different …

Image processing technology has always been a hot and difficult topic in the field of artificial
intelligence. With the rise and development of machine learning and deep learning …

Liver-related diseases significantly contribute to global mortality rates. Accurate
segmentation of liver disease from CT scans is essential for early diagnosis and treatment …

Segmentation is an important method for MRI medical image analysis as it can provide the
radiologists with noninvasive information about a patient that is crucial to the diagnostic …

Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

This cutting-edge volume, Computer Vision and Recognition Systems: Research
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …

In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …

In healthcare, medical practitioners employ various imaging techniques such as CT, X-ray,
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …

An appropriate threshold is a key to using the multi-threshold segmentation method to solve
image segmentation problems, and the swarm intelligence (SI) optimization algorithm is one …

Melanoma, which results from the cancerous transformation of melanocytes, is the most
dangerous skin cancer in the medical field. Today, image processing technology has been …