Simulation is an ideal tool for addressing wide ranging issues in health care delivery. These
issues involve public policy, patient treatment procedures, capital expenditure requirements …

Liver segmentation continues to remain a major challenge, largely due to its intensity
complexity with surrounding anatomical structures (stomach, kidney, and heart), high noise …

This paper presents a new cellular automata-based unsupervised image segmentation
technique that is motivated by the interactive grow-cut algorithm. In contrast to the traditional …

This paper presents a novel brain tumor segmentation method. It is a hybrid of fuzzy c-
means clustering algorithm (FCM) and cellular automata model (CA) through the features …

Capsule endoscopy (CE), introduced as a modality for non-invasive examination of entire
gastrointestinal tract, demands for an efficient computer-aided decision making system to …

Distribution of retinal blood vessels (RBVs) in retinal images has an important role in the
prevention, diagnosis, monitoring and treatment of diseases, such as diabetes, high blood …

Medicinal images assume a key part in the diagnosis of tumors. In a similar way, MRI could
be the cutting edge regenerative imaging technology which permits corner sectional …

Cellular automata can be applied to solve several problems in a variety of areas, such as
biology, chemistry, medicine, physics, astronomy, economics, and urban planning. The …

Liver segmentation continues to remain a major challenge, largely due to its intense
complexity with surrounding anatomical structures (stomach, kidney, and heart), high noise …

Cardiac tumors are uncontrolled bursts of tissues and cells in the heart. The heart is
composed of several different tissues, cells, or valves as well as neurons and these neurons …