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Certain Improvements in Alzheimer Disease Classification using Novel Fuzzy c Means Clustering for Image Segmentation
Author(s) -
K. P. Kaliyamurthie,
G Michael,
C Anuratha,
B Sundaraj
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i3120.0789s319
Subject(s) - dementia , medical diagnosis , cluster analysis , disease , segmentation , fuzzy logic , affect (linguistics) , computer science , field (mathematics) , artificial intelligence , medicine , psychology , pathology , mathematics , communication , pure mathematics
The Medical images are the diagnostic evidence that ensures information on the anatomical pathology. In the field of medical imaging, the automatic classification and its retrieval can insert in a new radiograph inside the current archive without manual interaction and also can search for specific diagnoses based on the image input. The image retrieval brings down the cost of medical care to a great extent as the clinical decision of the physician is faster because the anatomical features and also the pathologic appearance is compared to that of an image database . Dementia is a neurological condition that describes the problems with memory as well as thinking. It denotes the progressive deterioration of thoughts and interferes severely with the social, the occupational as well as the intellectual functioning. Dementia is because of a brain disease and not because of ageing. Most of the people go through a memory loss that is linked to ageing but it does not affect the daily functions and is not connected to dementia

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