CAM: a novel aid system to analyse the coloration quality of thick blood smears using image processing and machine learning techniques
An image-based approach was developed to automatically evaluate the coloration quality of TBS. This finding highlights the potential of image-based analysis to assess TBS coloration quality. CAM is intended to function as a supportive tool for analyzing the coloration quality of thick blood smears.
Authors
- Liliana Jazmín Cortés (ORCID: https://orcid.org/0000-0002-1727-7335)
- Daniel R. Suárez (ORCID: https://orcid.org/0000-0001-6264-2250)
- Carol Martínez (ORCID: https://orcid.org/0000-0003-3040-6119)
- Wendy Marcela Fong Amarís (ORCID: https://orcid.org/0000-0001-7185-9478)
Institutions
- Pontificia Universidad Javeriana (CO)
Publication Details
- Journal
- Malaria Journal
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1186/s12936-024-05025-7
- Primary Topic
- Digital Imaging for Blood Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Pontificia Universidad Javeriana