Mid-level Image Representations For Real-time Heart View Plane Classification Of Echocardiograms.

dc.creatorPenatti, Otávio A B
dc.creatorWerneck, Rafael de O
dc.creatorde Almeida, Waldir R
dc.creatorStein, Bernardo V
dc.creatorPazinato, Daniel V
dc.creatorMendes Júnior, Pedro R
dc.creatorTorres, Ricardo da S
dc.creatorRocha, Anderson
dc.date2015-Nov
dc.date2016-05-23T19:40:55Z
dc.date2016-05-23T19:40:55Z
dc.date.accessioned2018-03-29T01:28:26Z
dc.date.available2018-03-29T01:28:26Z
dc.identifierComputers In Biology And Medicine. v. 66, p. 66-81, 2015-Nov.
dc.identifier1879-0534
dc.identifier10.1016/j.compbiomed.2015.08.004
dc.identifierhttp://www.ncbi.nlm.nih.gov/pubmed/26386547
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/235410
dc.identifier26386547
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1303653
dc.descriptionIn this paper, we explore mid-level image representations for real-time heart view plane classification of 2D echocardiogram ultrasound images. The proposed representations rely on bags of visual words, successfully used by the computer vision community in visual recognition problems. An important element of the proposed representations is the image sampling with large regions, drastically reducing the execution time of the image characterization procedure. Throughout an extensive set of experiments, we evaluate the proposed approach against different image descriptors for classifying four heart view planes. The results show that our approach is effective and efficient for the target problem, making it suitable for use in real-time setups. The proposed representations are also robust to different image transformations, e.g., downsampling, noise filtering, and different machine learning classifiers, keeping classification accuracy above 90%. Feature extraction can be performed in 30 fps or 60 fps in some cases. This paper also includes an in-depth review of the literature in the area of automatic echocardiogram view classification giving the reader a through comprehension of this field of study.
dc.description66
dc.description66-81
dc.languageeng
dc.relationComputers In Biology And Medicine
dc.relationComput. Biol. Med.
dc.rightsembargo
dc.sourcePubMed
dc.subjectEchocardiography
dc.subjectFeature Extraction
dc.subjectImage Classification
dc.subjectPattern Analysis
dc.subjectReal-time Systems
dc.titleMid-level Image Representations For Real-time Heart View Plane Classification Of Echocardiograms.
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución