Database that contains all images (plus 180 more) employed in the article: "Image features for quality analysis of thick blood smears employed in malaria diagnosis"

We share with you a bank of images obtained from microscopic fields of thick blood smears employed in the malaria diagnosis, and also the .csv file that contains the labels for each image.

The images are saved with a unique name that is found in the first column of the .csv file. The second column contains the labels from each image, according to their unique names.

The labeling process was done with the online toolbox Labelbox. Labelbox, "Labelbox," Online, 2020. [Online]. Available: https://labelbox.com 

If you are interested in using our database, cite our article as a way to recognize our work. We will be grateful for that. 

CITATION: Fong Amaris, W.M., Martinez, C., Cortés-Cortés, L.J. et al. Image features for quality analysis of thick blood smears employed in malaria diagnosis. Malar J 21, 74 (2022). https://doi.org/10.1186/s12936-022-04064-2

URL of our paper: https://malariajournal.biomedcentral.com/articles/10.1186/s12936-022-04064-2

--- This is the link where you can find our images Bank: https://drive.google.com/drive/folders/1Qrv0e4bSEtkeqtPABz-klQp-6D6OjU-X?usp=sharing 

It is important you to know that along with this .txt file, we are sharing the .csv file that contains 600 names of images (in the first column) with their respective labels (second column aside)

This file corresponds to the instructions of an extended label file related to 600 images (and 600 new labels) in contrast to our previous label file with 420 labels from 420 images (https://www.researchgate.net/publication/359439520_Database420LabelsInstructionstxt ; https://www.researchgate.net/publication/359438904_Database420Labelscsv).

Best Regards