The past few years have witnessed a significant increase in medical cases related to brain
tumors, making it the 10th most common form of tumor affecting children and adults alike …

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 tumor pathology is one of the most common mortality issues considered as an
essential priority for health care societies. Accurate diagnosis of the type of disorder is …

A malignant tumor in brain is detected using images from Magnetic Resonance scanners.
Malignancy detection in brain and separation of its tissues from normal brain cells allows to …

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 …

Breast cancer is one of the most frequent cancers in women, and it has a higher mortality
rate than other cancers. As a result, early detection is critical. In computer-assisted disease …

The most vital challenge for a radiologist is locating the brain tumors in the earlier stage. As
the brain tumor grows rapidly, doubling its actual size in about twenty-five days. If not dealt …

A novel artificial bee colony (ABC) algorithm to detect structural damage via modal and
frequency analyses is proposed (named as TCABC algorithm). Compared to the standard …

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 …

The dragonfly algorithm (DA) is one of the optimization techniques developed in recent
years. The random flying behavior of dragonflies in nature is modeled in the DA using the …