The high prevalence of breast cancer in women has increased dramatically in recent times.
Physician's knowledge in breast cancer diagnosis and detection using computerized …

In recent years, the high prevalence of breast cancer in women has risen dramatically.
Therefore, segmentation of breast Dynamic Contrast-Enhanced Magnetic Resonance …

Microorganisms such as protozoa and bacteria play very important roles in many practical
domains, like agriculture, industry and medicine. To explore functions of different categories …

Image segmentation is at a preliminary stage of inclusion in diagnosis tools and the accurate
segmentation of brain MRI images is crucial for a correct diagnosis by these tools. Due to in …

Brain image segmentation is one of the most important parts of clinical diagnostic tools.
Fuzzy C-mean (FCM) is one of the most popular clustering based segmentation methods. In …

Breast cancer has emerged as the most life-threatening disease among women around the
world. Early detection and treatment of breast cancer are thought to reduce the need for …

In recent times, the high prevalence of breast cancer in women has increased significantly.
Breast cancer diagnosis and detection employing computerized algorithms for feature …

In recent years cancer on breast in women has increased rapidly worldwide. Therefore, the
automatic segmentation of breast Dynamic Contrast-Enhanced Magnetic Resonance …

Intensity inhomogeneity (IIH), also named as bias field, is an undesired phenomenon of liver
magnetic resonance imaging (MRI) which severely affects the quantitative analysis of …

Magnetic resonance imaging (MRI) registration is important in detection, diagnosis,
treatment planning, determining radiographic progression, functional studies, computer …