Distinct Sources of a Bovine Blastocyst Digital Image Do not Produce the Same Classification by a Previously Trained Software Using Artificial Neural Network

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorGuilherme, Vitória Bertogna [UNESP]-
Autor(es): dc.creatorPronunciate, Micheli [UNESP]-
Autor(es): dc.creatordos Santos, Priscila Helena [UNESP]-
Autor(es): dc.creatorde Souza Ciniciato, Diego [UNESP]-
Autor(es): dc.creatorTakahashi, Maria Beatriz [UNESP]-
Autor(es): dc.creatorRocha, José Celso [UNESP]-
Autor(es): dc.creatorGouveia Nogueira, Marcelo Fábio [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:33:21Z-
Data de disponibilização: dc.date.available2022-02-22T00:33:21Z-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2019-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-030-32965-5_8-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/201365-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/201365-
Descrição: dc.descriptionWe develop an online graphical and intuitive interface connected to a server aiming to facilitate access to professionals worldwide that face problems with bovine blastocysts classification. The interface Blasto3Q (3Q is referred to the three qualities of the blastocyst grading) contains a description of 24 variables that are extracted from the image of the blastocyst and analyzed by three Artificial Neural Networks (ANNs) that classifies the same loaded image. The same embryo (i.e., the biological specimen) was submitted to digital image capture by the control group (inverted microscope with 40x of magnification) and to experimental group (stereomicroscope with maximum of magnification plus 4x zoom from the cell phone). The 36 images obtained from control and experimental groups were uploaded on the Blasto3Q. Each image from both sources was evaluated for segmentation and submitted (only if it could be properly or partially segmented) to the quality grade classification by the three ANNs of the Blasto3Q program. In the group control, all the images were properly segmented, whereas 38.9% (07/18) and 61.1% (11/18) of the images from the experimental group, respectively could not be segmented or were partially segmented. The percentage of agreement was calculated when the same blastocyst was evaluated by the same ANN from the two sources (control and experimental groups). On the 54 potential evaluations of the three ANNs (i.e., 18 images been evaluated by the three networks) from the experimental group only 22.2% agreed with evaluations of the control (12/54). Of the remaining 42 disagreed evaluations from experimental group, 21 were unable to be performed and 21 were wrongly processed when compared with control evaluation.-
Descrição: dc.descriptionLaboratório de Micromanipulação Embrionária School of Sciences and Languages Universidade Estadual Paulista (Unesp), Av. Dom Antonio 2100-
Descrição: dc.descriptionLaboratório Multiusuário FitoFarmaTec Institute of Biosciences Unesp, Rubião Jr.-
Descrição: dc.descriptionLaboratório de Matemática Aplicada School of Sciences and Languages Unesp, Av. Dom Antonio 2100-
Descrição: dc.descriptionLaboratório de Micromanipulação Embrionária School of Sciences and Languages Universidade Estadual Paulista (Unesp), Av. Dom Antonio 2100-
Descrição: dc.descriptionLaboratório Multiusuário FitoFarmaTec Institute of Biosciences Unesp, Rubião Jr.-
Descrição: dc.descriptionLaboratório de Matemática Aplicada School of Sciences and Languages Unesp, Av. Dom Antonio 2100-
Formato: dc.format139-153-
Idioma: dc.languageen-
Relação: dc.relationCommunications in Computer and Information Science-
???dc.source???: dc.sourceScopus-
Título: dc.titleDistinct Sources of a Bovine Blastocyst Digital Image Do not Produce the Same Classification by a Previously Trained Software Using Artificial Neural Network-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.