Vista Equipo: A deep architecture for visually analyze Pap cells.

A deep architecture for visually analyze Pap cells.

This work proposes a deep ANN architecture which accomplishes the reliable visual classification of abnormal Pap smear cell. The system is driven by independent agents where the first agent consists of a three layer ANN pretrained to closely track a reticle pattern. This net participates in a local...

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Detalles Bibliográficos
Autor Principal:	Chang Tortolero, Oscar Guillermo
Formato:	Artículos
Lenguaje:	eng
Publicado:	2017
Materias:	ARTIFICIAL NEURAL NETWORKS COMPUTER ARCHITECTURE TRAINING
Acceso en línea:	http://repositorio.educacionsuperior.gob.ec/handle/28000/3861
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:localhost:28000-38612017-04-13T08:02:18Z A deep architecture for visually analyze Pap cells. Chang Tortolero, Oscar Guillermo ARTIFICIAL NEURAL NETWORKS COMPUTER ARCHITECTURE TRAINING This work proposes a deep ANN architecture which accomplishes the reliable visual classification of abnormal Pap smear cell. The system is driven by independent agents where the first agent consists of a three layer ANN pretrained to closely track a reticle pattern. This net participates in a local close loop that oscillates and produces unique time-space versions of the visual data. This information is stabilized and sparsed in order to obtain compact data representations, with implicit space time content. The obtained representations are delivered to second level agents, formed by independent three layers ANNs dedicated to learning and recognition activities. To train the system a noise-balanced algorithm is employed, where the training set is composed by pap cells and white noise. This combination operating on finite databases and in a self controlled learning loop, auto develops enough cell recognition knowledge as to classify whole classes of Pap smear cells. The system has been tested in real time utilizing documented data bases. 2017-04-12T17:57:49Z 2017-04-12T17:57:49Z 2015 article Chang. O. Constante. P. Gordon. Andres. (2015). A deep architecture for visually analyze Pap cells.Automatic Control (CCAC), 2015 IEEE 2nd Colombian Conference on. Colombia. 978-1-4673-9305-8 http://repositorio.educacionsuperior.gob.ec/handle/28000/3861 eng DOI;10.1109/CCAC.2015.7345210 closedAccess
institution	SENESCYT
collection	Repositorio SENESCYT
biblioteca	Biblioteca Senescyt
language	eng
format	Artículos
topic	ARTIFICIAL NEURAL NETWORKS COMPUTER ARCHITECTURE TRAINING
spellingShingle	ARTIFICIAL NEURAL NETWORKS COMPUTER ARCHITECTURE TRAINING Chang Tortolero, Oscar Guillermo A deep architecture for visually analyze Pap cells.
description	This work proposes a deep ANN architecture which accomplishes the reliable visual classification of abnormal Pap smear cell. The system is driven by independent agents where the first agent consists of a three layer ANN pretrained to closely track a reticle pattern. This net participates in a local close loop that oscillates and produces unique time-space versions of the visual data. This information is stabilized and sparsed in order to obtain compact data representations, with implicit space time content. The obtained representations are delivered to second level agents, formed by independent three layers ANNs dedicated to learning and recognition activities. To train the system a noise-balanced algorithm is employed, where the training set is composed by pap cells and white noise. This combination operating on finite databases and in a self controlled learning loop, auto develops enough cell recognition knowledge as to classify whole classes of Pap smear cells. The system has been tested in real time utilizing documented data bases.
author	Chang Tortolero, Oscar Guillermo
author_facet	Chang Tortolero, Oscar Guillermo
author_sort	Chang Tortolero, Oscar Guillermo
title	A deep architecture for visually analyze Pap cells.
title_short	A deep architecture for visually analyze Pap cells.
title_full	A deep architecture for visually analyze Pap cells.
title_fullStr	A deep architecture for visually analyze Pap cells.
title_full_unstemmed	A deep architecture for visually analyze Pap cells.
title_sort	deep architecture for visually analyze pap cells.
publishDate	2017
url	http://repositorio.educacionsuperior.gob.ec/handle/28000/3861
_version_	1634995197074997248
score	11,871979

A deep architecture for visually analyze Pap cells.

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