Bio medical image retrieval using support vector machine

Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/627

Full metadata record

DC Field	Value	Language
dc.contributor.author	Lekshmi Surya S L	-
dc.date.accessioned	2023-09-23T14:03:00Z	-
dc.date.available	2023-09-23T14:03:00Z	-
dc.date.issued	2021	-
dc.identifier.issn	https://doi.org/10.1063/5.0058251	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/627	-
dc.description.abstract	Bio Medical Image Detection is done by using the Image retrieval method. It analyzes the contents of the image rather than the metadata associated with the image. Here the input image passes through a series of tasks which is the classification task. A classification task involves with training and testing of data. For proper training and testing of data, SVM can be used. The goal of SVM is to produce a model which predicts target value of data instances in the testing set which are given as attributes. Actually, this work can provide the result values by doing the retrieving the medical image in high resolution. This work introduces the detection of medical images using Support Vector Machine.	en_US
dc.subject	Support vector machine, Extraction, Machine Learning	en_US
dc.title	Bio medical image retrieval using support vector machine	en_US
dc.type	Article	en_US
Appears in Collections:	Publications

Files in This Item:

File	Description	Size	Format
aipproceedings paper.pdf		758.45 kB	Adobe PDF	View/Open