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Please use this identifier to cite or link to this item: https://dr.ddn.upes.ac.in//xmlui/handle/123456789/4076
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dc.contributor.authorSille, Roohi-
dc.date.accessioned2023-02-21T09:33:58Z-
dc.date.available2023-02-21T09:33:58Z-
dc.date.issued2022-09-
dc.identifier.citationUnder the guidance of Dr. Piyush Chauhan, Assistant Professor, UPES ; Dr. Tanupriya Choudhury, Senior Associate Professor, UPES & Dr. Durgansh Sharma Associate Professor Christ Universityen_US
dc.identifier.urihttp://hdl.handle.net/123456789/4076-
dc.descriptionThesis submitted in partial fulfillment of the requirements for the award of the Degree of Doctor of Philosophy (Computer Science and Engineering)en_US
dc.language.isoenen_US
dc.publisherSchool of Computer Science, UPES, Dehradunen_US
dc.subjectThesisen_US
dc.subjectComputer Science Engineeringen_US
dc.subjectAutomated Medical Image Segmentationen_US
dc.subjectBrain Tumour Segmentationen_US
dc.titleReal time segmentation of medical imagesen_US
dc.typeThesisen_US
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