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sthephanytezza authored Oct 20, 2021
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157 changes: 88 additions & 69 deletions src/app/components/sistema/cite-us/cite-us.component.html
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<h2 id="cite-us">Cite us</h2>
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<!-- Bootstrap Tab panes -->
<div class="tab-content cite-panes">
<div class="tab-pane container active"
id="datacite">
Rezende, Mariana Trevisan; Tobias, Alessandra Hermógenes Gomes; Silva, Raniere; Oliveira, Paulo; Sombra de Medeiros, Fatima; Ushizima, Daniela; et al. (2020): CRIC Cervix Cell Classification. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.4960286.v2
</div>
<div class="tab-pane container"
id="mla">
Rezende, M. T., et al.. CRIC Cervix Cell Classification. 2, figshare, 1 May 2020, doi:10.6084/m9.figshare.c.4960286.v2.
</div>
<div class="tab-pane container fade"
id="apa">
Rezende, M. T., Tobias, A. H. G., Silva, R., Oliveira, P., Sombra de Medeiros, F., Ushizima, D., … Bianchi, A. G. C.. (2020). CRIC Cervix Cell Classification. doi: 10.6084/m9.figshare.c.4960286.v2
</div>
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id="chicago">
Rezende, Mariana Trevisan, Alessandra Hermógenes Gomes Tobias, Raniere Silva, Paulo Oliveira, Fatima Sombra de Medeiros, Daniela Ushizima, Claudia Martins Carneiro, and Andrea Gomes Campos Bianchi. “CRIC Cervix Cell Classification”. figshare, May 1, 2020. https://doi.org/10.6084/m9.figshare.c.4960286.v2.
</div>
<div class="tab-pane container fade"
id="abnt">
REZENDE, M. T. et al.. CRIC Cervix Cell Classificationfigshare, , 1 maio 2020. . Disponível em: &lt;https://figshare.com/collections/CRIC_Cervix_Cell_Classification/4960286/2&gt;.. Acesso em: {{today.getDate()}}/{{today.getMonth()}}/{{today.getFullYear()}}.
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<div class="tab-pane container fade"
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<pre><code>@misc&#123;cric_cervix,
title="CRIC Cervix Cell Classification",
url="https://figshare.com/collections/CRIC_Cervix_Cell_Classification/4960286/2",
DOI="10.6084/m9.figshare.c.4960286.v2",
abstractNote="400 images from microscope slides of the uterine cervix using the conventional smear (Pap smear) and the epithelial cell abnormalities classified according to Bethesda system. Data visualisation available at http://database.cric.com.br/.",
publisher="figshare",
author="Rezende, Mariana Trevisan and Tobias, Alessandra Hermógenes Gomes and Silva, Raniere and Oliveira, Paulo and Sombra de Medeiros, Fatima and Ushizima, Daniela and Carneiro, Claudia Martins and Bianchi, Andrea Gomes Campos",
year="2020",
month="May"
&#125;</code></pre>
</div>
<!-- Bootstrap Tab panes -->
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<div class="tab-pane container active" id="datacite">
<p>Rezende, Mariana Trevisan; Tobias, Alessandra Hermógenes Gomes; Silva, Raniere; Oliveira, Paulo; Sombra de
Medeiros, Fatima; Ushizima, Daniela; et al. (2020): CRIC Cervix Cell Classification. figshare. Collection.
https://doi.org/10.6084/m9.figshare.c.4960286.v2</p>
<p>
Rezende, Mariana Bianchi; Silva, Raniere; Bernardo, Fagner de Oliveira; Tobias, Alessandra Hermógenes Gomes; Oliveira, Paulo Henrique Calaes; Machado, Tales Gomes; et al. (2021): Cric searchable image database as a public platform for conventional pap smear cytology data. Scientific Data. https://doi.org/10.1038/s41597-021-00933-8
</p>
</div>
<div class="tab-pane container" id="mla">
<p>Rezende, M. T., et al.. CRIC Cervix Cell Classification. 2, figshare, 1 May 2020,
doi:10.6084/m9.figshare.c.4960286.v2.</p>
<p>Rezende, Mariana T., et al. "Cric searchable image database as a public platform for conventional pap smear
cytology data." Scientific Data 8.1 (2021): 1-8.</p>
</div>
<div class="tab-pane container fade" id="apa">
<p>Rezende, M. T., Tobias, A. H. G., Silva, R., Oliveira, P., Sombra de Medeiros, F., Ushizima, D., … Bianchi,
A. G. C.. (2020). CRIC Cervix Cell Classification. doi: 10.6084/m9.figshare.c.4960286.v2</p>
<p>Rezende, M. T., Silva, R., Bernardo, F. D. O., Tobias, A. H., Oliveira, P. H., Machado, T. M., ... & Bianchi,
A. G. (2021). Cric searchable image database as a public platform for conventional pap smear cytology data.
Scientific Data, 8(1), 1-8.</p>
</div>
<div class="tab-pane container fade" id="chicago">
<p>Rezende, Mariana Trevisan, Alessandra Hermógenes Gomes Tobias, Raniere Silva, Paulo Oliveira, Fatima Sombra
de Medeiros, Daniela Ushizima, Claudia Martins Carneiro, and Andrea Gomes Campos Bianchi. “CRIC Cervix Cell
Classification”. figshare, May 1, 2020. https://doi.org/10.6084/m9.figshare.c.4960286.v2.</p>
<p>
Rezende, Mariana T., Raniere Silva, Fagner de O. Bernardo, Alessandra H. G. Tobias, Paulo H. C. Oliveira, Tales M. Machado, Caio S. Costa, et al. “Cric Searchable Image Database as a Public Platform for Conventional Pap Smear Cytology Data.” Scientific Data 8, no. 1 (June 10, 2021). https://doi.org/10.1038/s41597-021-00933-8.
</p>
</div>
<div class="tab-pane container fade" id="abnt">
<p>REZENDE, M. T. et al. CRIC Cervix Cell Classificationfigshare, 1 maio 2020. Disponível em:
&lt;https://figshare.com/collections/CRIC_Cervix_Cell_Classification/4960286/2&gt;. Acesso em:
{{today.getDate()}}/{{today.getMonth()}}/{{today.getFullYear()}}.</p>
<p>
REZENDE, M. T. et al. Cric searchable image database as a public platform for conventional pap smear cytology data. Scientific Data, v. 8, n. 1, 10 jun. 2021. Disponível em:
&lt;https://www.nature.com/articles/s41597-021-00933-8&gt;. Acesso em:
{{today.getDate()}}/{{today.getMonth()}}/{{today.getFullYear()}}.
</p>
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<div class="tab-pane container fade" id="bibtex">
<code><pre>
@misc&#123;cric_cervix,
title="CRIC Cervix Cell Classification",
url="https://figshare.com/collections/CRIC_Cervix_Cell_Classification/4960286/2",
DOI="10.6084/m9.figshare.c.4960286.v2",
abstractNote="400 images from microscope slides of the uterine cervix using the conventional smear (Pap smear) and the epithelial cell abnormalities classified according to Bethesda system. Data visualisation available at http://database.cric.com.br/.",
publisher="figshare",
author="Rezende, Mariana Trevisan and Tobias, Alessandra Hermógenes Gomes and Silva, Raniere and Oliveira, Paulo and Sombra de Medeiros, Fatima and Ushizima, Daniela and Carneiro, Claudia Martins and Bianchi, Andrea Gomes Campos",
year="2020",
month="May"
&#125;
@article&#123;rezende2021cric,
title="Cric searchable image database as a public platform for conventional pap smear cytology data",
author="Rezende, Mariana T and Silva, Raniere and Bernardo, Fagner de O and Tobias, Alessandra HG and Oliveira, Paulo HC and Machado, Tales M and Costa, Caio S and Medeiros, Fatima NS and Ushizima, Daniela M and Carneiro, Claudia M and others",
journal="Scientific Data",
volume="8",
number="1",
pages="1--8",
year="2021",
publisher="Nature Publishing Group"
&#125;
</pre>
</code>
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5 changes: 4 additions & 1 deletion src/app/paginas/downloads/downloads.component.html
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<p><b>400</b> images (with <b>11534</b> cells) from microscope slides of the uterine cervix using the conventional smear (Pap smear) and the epithelial cell abnormalities classified according to Bethesda system.</p>
<p>The cells in the CRIC Cervix Classification collection are labeled in six (6) classes: negative for intraepithelial lesion or malignancy (NILM); atypical squamous cells of undetermined significance, possibly non-neoplastic (ASC-US); low-grade squamous cell carcinoma (SCC) intraepithelial lesion (LSIL); atypical squamous cells, cannot exclude a high-grade lesion (ASC-H); high-grade squamous intraepithelial lesion (HSIL); and squamous carcinoma (SC).</p>
<p>[1] <a href="https://www.nature.com/articles/s41597-021-00933-8">Cric searchable image database as a public platform for conventional pap smear cytology data</a>
- Mariana T. Rezende, Raniere Silva, Fagner de O. Bernardo, Alessandra H. G. Tobias, Paulo H. C. Oliveira, Tales M. Machado, Caio S. Costa, Fatima N. S. Medeiros, Daniela M. Ushizima, Claudia M. Carneiro and Andrea G. C. Bianchi, published in the Nature in June 2021.</p>
<div class="form-group row">
<label for="collection_select"
class="col-sm-2 col-form-label">Collection</label>
Expand Down Expand Up @@ -110,8 +112,9 @@ <h2>CRIC Cervix Cell Classification - Cropped Image</h2>
<form>
<p>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].</p>
This dataset divides cells into (3) three group classes: two class, three classes and six class groups [1].</p>
<p>[1] <a href="https://www.mdpi.com/2313-433X/7/7/111">A deep learning ensemble method to assist cytopathologists in the Pap test images classification</a> - 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.</p>
<p>The code from the above article can be found on the GitHub versioning system: <a href="https://github.com/debnasser/deep-learning-ensemble-jimaging/blob/main/balance.py">https://github.com/debnasser/deep-learning-ensemble-jimaging/blob/main/balance.py</a>.</p>
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