alexa A Comparative Study of Brain Tumour Detection Using K- Harmonic Means, Expectation Maximization and Hierarchical Clustering Algorithms | Abstract
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

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Special Issue Article Open Access

Abstract

Brain is the centre of human Central nervous system. The brain is a complex organ as it contains 50-100 billion neurons forming a gigantic neural network. Detection of anatomical brain structures with their exact location is important for treatments like radiation therapy and surgery. Radiologists perform the diagnosis of brain tumour manually on MRI images but it being time consuming and error prone as large no of image slices and the large variations between them. DICOM (Digital Imaging and Communications in Medicine) plays a key role as it is the standard for handling, storing, reading, viewing and writing, printing information for medical Imaging.

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Author(s): M.Ravichandran, T.Parthasarathi

Keywords

Brain tumour, Clustering, Harmonic Means, Maximization, MRI, Nervous system, DICOM, Pediatric Brain Tumour,Brain Tumor Treatment

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