The process of segmenting tumor from MRI image of a brain is one of the highly focused
areas in the community of medical science as MRI is noninvasive imaging. This paper …

Brain imaging techniques play an important role in determining the causes of brain cell
injury. Therefore, earlier diagnosis of these diseases can be led to give rise to bring huge …

Accurate and automatic brain metastases target delineation is a key step for efficient and
effective stereotactic radiosurgery (SRS) treatment planning. In this work, we developed a …

Cuckoo Search (CS) algorithm is nature inspired global optimization algorithm based on the
brood parasitic behavior of cuckoos. It has proved to be an efficient algorithm as it has been …

Cuckoo search (CS) is one of the well-known evolutionary techniques in global optimization.
Despite its efficiency and wide use, CS suffers from premature convergence and poor …

In power system operation, the combined heat and power economic dispatch (CHPED) is an
attractive and momentous optimization problem where the major objective is to find an …

Image segmentation is a very important and pre-processing step in image analysis. The
conventional multilevel thresholding methods are efficient for bi-level thresholding because …

Automatic segmentation of brain tumour is the process of separating abnormal tissues from
normal tissues, such as white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) …

The GVF snake is effective on converging into concave areas and being insensitive to
initialization. However, it fails to converge to areas with deep and narrow concavities or …

Clustering is a vital task in magnetic resonance imaging (MRI) brain imaging and plays an
important role in the reliability of brain disease detection, diagnosis, and effectiveness of the …