Breast cancer has replaced lung cancer as the most prevalent malignancy threatening
human health. Early breast screening can help improve treatment success and reduce the …

The effective analytical processing of pathological images is crucial in promoting the
development of medical diagnostics. Based on this matter, in this research, a multi-level …

The multi-verse optimizer (MVO) algorithm has been applied to image segmentation, feature
selection, engineering problems, and many other fields. MVO, like other metaheuristic …

Differential Evolution (DE) is a commonly used metaheuristic algorithm in different
optimization scenarios. However, the original DE suffers from stagnation and premature …

The scholarly world has demonstrated an immense enthusiasm for medical image
segmentation due to its intricate nature and critical role in medical diagnosis and treatment …

Breast cancer is one of the most dangerous diseases for women's health, and it is imperative
to provide the necessary diagnostic assistance for it. The medical image processing …

Medical image segmentation, which is a complex and fundamental step in medical image
processing, can help doctors make more precise decisions on patient diagnosis. Although …

A quick and effective way of segmenting images is the Otsu threshold method. However, the
complexity of time grows exponentially as the number of thresolds rises. The aim of this …

Breast cancer poses a significant risk to women's health, and it is essential to provide proper
diagnostic support. Medical image processing technology is a key component of all …

In medical image processing, multi-threshold image segmentation has been challenging, as
selecting appropriate thresholds is crucial for distinguishing different structures within an …