Computational Intelligence in Diagnosis of prenatal congenital heart defects fromUltrasound images

dc.contributor.guide	C H Renumadhavi
dc.coverage.spatial
dc.creator.researcher	D Kavitha
dc.date.accessioned	2023-02-18T09:07:25Z
dc.date.available	2023-02-18T09:07:25Z
dc.date.awarded	2023
dc.date.completed	2022
dc.date.registered	2017
dc.description.abstract	newline A distinct set of progressive talents and special exposure in anatomy structure of newlinefetal heart is needed for diagnose the PVSD from 4CV ultrasound images. Even though newlineprenatal CHD diagnosis is a simple and time-consuming technique, the incidence of newlineprenatal CHD diagnosis is still low.
dc.description.note
dc.format.accompanyingmaterial	CD
dc.format.dimensions
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/462257
dc.language	English
dc.publisher.institution	R V College of Engineering
dc.publisher.place	Belagavi
dc.publisher.university	Visvesvaraya Technological University, Belagavi
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Biomedical
dc.title	Computational Intelligence in Diagnosis of prenatal congenital heart defects fromUltrasound images
dc.title.alternative
dc.type.degree	Ph.D.