Abstract The Artificial Bee Colony (ABC) technique is a highly effective method of
optimization inspired by the behavior of bees. Notably, the importance of the ABC algorithm …

Computer-aided liver diagnosis helps doctors accurately identify liver abnormalities and
reduce the risk of liver surgery. Early diagnosis and detection of liver lesions depend mainly …

Computed tomography (CT) imaging remains the most utilized modality for liver-related
cancer screening and treatment monitoring purposes. Liver, liver tumor and liver vasculature …

Leukemia is a kind of cancer that basically begins in the bone marrow. It is caused by
excessive production of leukocytes that replace normal blood cells. This chapter presents …

This paper proposes an approach for liver segmentation in MRI images based on Whale
optimization algorithm (WOA). It is used to extract the different clusters in the abdominal …

The segmentation methods for image processing are studied in the presented work. Image
segmentation can be defined as a vital step in digital image processing. Also, it is used in …

Manual detection and characterization of liver cancer using computed tomography (CT)
scan images is a challenging task. In this paper, we have presented an automatic approach …

Abdominal CT scans have been widely studied and researched by medical professionals in
recent years. CT scans have proved effective for the task of detection of liver abnormalities in …

Nature–inspired optimization techniques play an essential role in the field of image
processing. It reduces the noise and blurring of images and also improves the image …

Segmentation of liver tumors from Computed Tomography (CT) and tumor burden analysis
play an important role in the choice of therapeutic strategies for liver diseases and treatment …