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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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PetHIS

Authors: Da Silva, Vinicius Barbosa; Cortes, Omar Andres Carmona; Fábio Henrique Evangelista De Andrade;
Abstract

The data originates from the Laboratory of Veterinary Medicine of the State University of Maranhão as part of a research project conducted at a Federal Institute of Maranhão. The histopathological image database was created to train CNN models for pet cancer classification. The image database was created from 82 original images that were enlarged using data augmentation such as vertical flip, horizontal flip, and random crop(px(0.50)), totaling 592 histopathological images divided into benign and malignant.

Research project funded by Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão - FAPEMA.

Keywords

cancer detection, convolutional neural networks, dataset, histopathological image, pets

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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Cancer Research