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MAGNETIC RESONANCE IMAGE SEGMENTATION USING PULSE COUPLED NEURAL NETWORKS by M S Mural Murugavel A Dissertation Submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE in partial fulfillment

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What is magnetic resonance image segmentation?

Magnetic resonance image segmentation is the process of dividing or separating an image acquired through magnetic resonance imaging (MRI) into different regions or objects based on certain features or characteristics.

Who is required to file magnetic resonance image segmentation?

There is no specific requirement to file a magnetic resonance image segmentation. It is a technique used by researchers, medical professionals, or individuals who analyze or interpret MRI data for various purposes.

How to fill out magnetic resonance image segmentation?

The process of filling out magnetic resonance image segmentation depends on the specific software or tool being used. Generally, it involves selecting the desired region(s) of interest or using algorithms to automatically segment the image. Detailed instructions can be found in the software documentation or user manual.

What is the purpose of magnetic resonance image segmentation?

The purpose of magnetic resonance image segmentation is to identify and extract specific structures or regions of interest within an MRI scan. This can help in medical diagnosis, treatment planning, image analysis, research studies, and various other applications.

What information must be reported on magnetic resonance image segmentation?

The specific information reported on magnetic resonance image segmentation varies depending on the purpose and context. It can include details about the segmented regions, their location, size, shape, intensity values, statistical measurements, and any additional annotations or metadata.

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