A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening.
- DOI
- 10.1186/s12911-026-03451-y
- Published
- 2026 Mar 21
- Container
- BMC medical informatics and decision making
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03451-y,
title = {A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening.},
author = {Wijesinghe CR and Liyanaarachchi DC and Rathnayake PM and Weerasinghe AR},
year = {2026},
journal = {BMC medical informatics and decision making},
doi = {10.1186/s12911-026-03451-y},
url = {https://doi.org/10.1186/s12911-026-03451-y}
}RIS
TY - JOUR TI - A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening. AU - Wijesinghe CR AU - Liyanaarachchi DC AU - Rathnayake PM AU - Weerasinghe AR PY - 2026 JO - BMC medical informatics and decision making DO - 10.1186/s12911-026-03451-y UR - https://doi.org/10.1186/s12911-026-03451-y ER -
APA
CR, W., DC, L., PM, R., & AR, W. (2026). A dual-modal machine learning framework integrating red blood indices and smartphone-captured microscopic images for β-thalassemia screening.. BMC medical informatics and decision making. https://doi.org/10.1186/s12911-026-03451-y
Source records
- pubmed · retrieved 2026-09-25T14:44:05.742Z