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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Malaria Parasite of Romanowsky-stained thick blood smears.

Authors: Martínez, Carol; Suárez, Daniel R.; Fong, Wendy; Jhonathan Sora; Salazar, Cesar; Martínez, Oscar; Castañeda, Manuel;

Malaria Parasite of Romanowsky-stained thick blood smears.

Abstract

We label 1000 Romanowsky-stained thick blood smear images previously used in actual diagnoses. This dataset has 1.000 Romanowsky-stained thick blood smear images from the INS (National Institute of Health in Colombia). The photographic records came from 100 thick blood smears (10 images of different fields per slide). There were 217 and 783 images of good quality and bad quality, respectively. Of these, 702 images were with the presence of parasites and 298 without parasites. A total of 6188 parasites (Trophozoites - 5927, Squizonts - 114, Gametocytes - 147) were labeled, whose height and width varied from 13 to 138 pixels. Each image with parasites included from one to ninety parasites, with an average of eight per image. In addition, there were 12.712 leukocytes in all the images, whose height and width varied from 15 to 222 pixels, and only in twelve of the images were no leukocytes found.

Keywords

Malaria diagnosis, Image processing, Thick blood smears

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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).
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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.
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