From 6185c9aca14172455f62b06610e8674a09f1cea4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sth=C3=A9phany=20Karoline=20Soares=20de=20Ara=C3=BAjo=20Te?= =?UTF-8?q?zza?= Date: Wed, 21 Jul 2021 19:41:59 -0300 Subject: [PATCH] adapt the content for the article publication --- src/app/paginas/downloads/downloads.component.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/app/paginas/downloads/downloads.component.html b/src/app/paginas/downloads/downloads.component.html index e202647..4f424bd 100644 --- a/src/app/paginas/downloads/downloads.component.html +++ b/src/app/paginas/downloads/downloads.component.html @@ -111,7 +111,7 @@

CRIC Cervix Cell Classification - Cropped Image

The CRIC Cervical Cell Classification – Cropped Image (CRIC- CI) was designed to push state of the art in cervical cell classification using cropped patches around nuclei for machine learning algorithm. The database is part of the Cervix Cell classification collection, the bounding boxes of 90 x 90 pixels around nuclei were chosen from different classes. This dataset divides cells into two more group classes: two class groups and three class groups [1].

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[1] A deep learning ensemble method to assist cytopathologists in the Pap test images classification - Débora N. Diniz, Mariana T. Rezende, Andrea G. C. Bianchi, Claudia M.Carneiro, Eduardo J. S. Luz, Gladston J. P. Moreira, Daniela M. Ushizima, Fátima N. S. de Medeiros, and Marcone J. F. Souza, submitted to Journal of Imaging in March 2021.

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[1] A deep learning ensemble method to assist cytopathologists in the Pap test images classification - Débora N. Diniz, Mariana T. Rezende, Andrea G. C. Bianchi, Claudia M.Carneiro, Eduardo J. S. Luz, Gladston J. P. Moreira, Daniela M. Ushizima, Fátima N. S. de Medeiros, and Marcone J. F. Souza, published in the Journal of Imaging in July 2021.