2010
DOI: 10.1590/s0100-736x2010000400010
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Evaluation of follicular lymphoid depletion in the Bursa of Fabricius: an alternative methodology using digital image analysis and artificial neural networks

Abstract: (BF) were examined by conventional optical microscopy and digital images were acquired and processed using Matlab ® 6.5 software. The Artificial Neuronal Network (ANN) was generated using Neuroshell ® Classifier software and the optical and digital data were compared. The ANN was able to make a comparable classification of digital and optical scores. The use of ANN was able to classify correctly the majority of the follicles, reaching sensibility and specificity of 89% and 96%, respectively. When the follicles… Show more

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Cited by 9 publications
(17 citation statements)
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“…All BF were submitted to histopathological examination to determine the presence of lesions. The lymphoid depletion score was obtained through mathematical modeling by utilizing artificial neural networks, in accordance to the method proposed by Moraes et al (2010).…”
Section: Gross and Microscopic Examination Of The Bursa Of Fabriciusmentioning
confidence: 99%
“…All BF were submitted to histopathological examination to determine the presence of lesions. The lymphoid depletion score was obtained through mathematical modeling by utilizing artificial neural networks, in accordance to the method proposed by Moraes et al (2010).…”
Section: Gross and Microscopic Examination Of The Bursa Of Fabriciusmentioning
confidence: 99%
“…This finding was not observed by Moraes et al (2010), who noticed a gray zone for the classification of the follicles of cloacal bursa in the DS 2, 3 and 5. Salle et al (2011) performed a study in order to validate the ADDL system for the cloacal bursa.…”
Section: Discussionmentioning
confidence: 53%
“…Despite the high percentage of correct classifications, it is important to highlight that it is always possible to improve the ANN by adding the analyses of other histologists. Moraes et al (2010), had the accuracy percentage of approximately 62% while classifying the follicles of cloacal bursa using also, the ADDL system in five scores. This fact shows how adjusted the model built in this study to evaluate the thymus is.…”
Section: Discussionmentioning
confidence: 98%
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