ParasitoBank dataset for diagnosing intestinal parasitism: Helminths and protozoa in coprological samplesMendeley Data
Intestinal parasitism is an infection that affects people worldwide, with populations in developing countries being at a higher risk of acquiring it. This infection is contracted for various reasons, mainly related to poor sanitary conditions and inadequate food practices, leading to multiple health...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
|
| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925000113 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832576509611606016 |
|---|---|
| author | Jader Alejandro Muñoz Galindez Luis Reinel Vásquez Arteaga Rubiel Vargas Cañas |
| author_facet | Jader Alejandro Muñoz Galindez Luis Reinel Vásquez Arteaga Rubiel Vargas Cañas |
| author_sort | Jader Alejandro Muñoz Galindez |
| collection | DOAJ |
| description | Intestinal parasitism is an infection that affects people worldwide, with populations in developing countries being at a higher risk of acquiring it. This infection is contracted for various reasons, mainly related to poor sanitary conditions and inadequate food practices, leading to multiple health issues such as malnutrition, intestinal obstructions, epilepsy, and others. Identifying parasitic species is essential for establishing appropriate antiparasitic therapy, which in turn helps reduce the risk of associated morbidities. For this reason, a dataset named “ParasitoBank” was created, containing 779 images of the visual field of fresh stool samples analysed under a microscope using the serial coprological technique. These images were acquired using a Motorola G84 mobile phone, and a data-labeling process resulted in a total of 1,620 intestinal parasites, with a particular focus on intestinal protozoa. The images have an approximate aspect ratio of 1:1 with a resolution of 2100 × 2100. Label information and some metadata for the images have been included in a JSON file following the “Common Objects in Context” (COCO) format. Finally, the entire dataset and label content have been arranged in a compressed file. The presented information facilitates the use of the data for various studies, spanning education and artificial intelligence development. |
| format | Article |
| id | doaj-art-d3b488c85d204ecab23a8050097ef998 |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-d3b488c85d204ecab23a8050097ef9982025-01-31T05:11:47ZengElsevierData in Brief2352-34092025-02-0158111279ParasitoBank dataset for diagnosing intestinal parasitism: Helminths and protozoa in coprological samplesMendeley DataJader Alejandro Muñoz Galindez0Luis Reinel Vásquez Arteaga1Rubiel Vargas Cañas2Sistemas dinámicos, instrumentación y control (SIDICO), Departamento de física, Universidad del Cauca, Colombia; Centro de estudios en microbiología y parasitología (CEMPA), Departamento de medicina interna, Universidad del Cauca, Colombia; Corresponding author at: Sistemas dinámicos, instrumentación y control (SIDICO), Departamento de física, Universidad del Cauca, Colombia.Centro de estudios en microbiología y parasitología (CEMPA), Departamento de medicina interna, Universidad del Cauca, ColombiaSistemas dinámicos, instrumentación y control (SIDICO), Departamento de física, Universidad del Cauca, ColombiaIntestinal parasitism is an infection that affects people worldwide, with populations in developing countries being at a higher risk of acquiring it. This infection is contracted for various reasons, mainly related to poor sanitary conditions and inadequate food practices, leading to multiple health issues such as malnutrition, intestinal obstructions, epilepsy, and others. Identifying parasitic species is essential for establishing appropriate antiparasitic therapy, which in turn helps reduce the risk of associated morbidities. For this reason, a dataset named “ParasitoBank” was created, containing 779 images of the visual field of fresh stool samples analysed under a microscope using the serial coprological technique. These images were acquired using a Motorola G84 mobile phone, and a data-labeling process resulted in a total of 1,620 intestinal parasites, with a particular focus on intestinal protozoa. The images have an approximate aspect ratio of 1:1 with a resolution of 2100 × 2100. Label information and some metadata for the images have been included in a JSON file following the “Common Objects in Context” (COCO) format. Finally, the entire dataset and label content have been arranged in a compressed file. The presented information facilitates the use of the data for various studies, spanning education and artificial intelligence development.http://www.sciencedirect.com/science/article/pii/S2352340925000113AntiparasiticHealthOptical microscopyTropical diseasesTreatment |
| spellingShingle | Jader Alejandro Muñoz Galindez Luis Reinel Vásquez Arteaga Rubiel Vargas Cañas ParasitoBank dataset for diagnosing intestinal parasitism: Helminths and protozoa in coprological samplesMendeley Data Data in Brief Antiparasitic Health Optical microscopy Tropical diseases Treatment |
| title | ParasitoBank dataset for diagnosing intestinal parasitism: Helminths and protozoa in coprological samplesMendeley Data |
| title_full | ParasitoBank dataset for diagnosing intestinal parasitism: Helminths and protozoa in coprological samplesMendeley Data |
| title_fullStr | ParasitoBank dataset for diagnosing intestinal parasitism: Helminths and protozoa in coprological samplesMendeley Data |
| title_full_unstemmed | ParasitoBank dataset for diagnosing intestinal parasitism: Helminths and protozoa in coprological samplesMendeley Data |
| title_short | ParasitoBank dataset for diagnosing intestinal parasitism: Helminths and protozoa in coprological samplesMendeley Data |
| title_sort | parasitobank dataset for diagnosing intestinal parasitism helminths and protozoa in coprological samplesmendeley data |
| topic | Antiparasitic Health Optical microscopy Tropical diseases Treatment |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925000113 |
| work_keys_str_mv | AT jaderalejandromunozgalindez parasitobankdatasetfordiagnosingintestinalparasitismhelminthsandprotozoaincoprologicalsamplesmendeleydata AT luisreinelvasquezarteaga parasitobankdatasetfordiagnosingintestinalparasitismhelminthsandprotozoaincoprologicalsamplesmendeleydata AT rubielvargascanas parasitobankdatasetfordiagnosingintestinalparasitismhelminthsandprotozoaincoprologicalsamplesmendeleydata |