AnemiaScreen: Explainable Fusion of Handcrafted and Deep Features for Non-Invasive Anemia Screening from Palpebral Conjunctiva Images

We develop a hybrid screening pipeline that fuses an in-
terpretable 212-dimensional conjunctival descriptor with
the embedding of a fine-tuned Swin-T backbone, cover-
ing conjunctiva localisation, illumination normalisation,
fusion and a decision threshold fixed before testing.
• We provide a systematic analysis of model performance
in a small-data, single-cohort setting by combining ab-
lation experiments with learning-curve analysis, allowing
us to identify which components and how much training
data contribute to the observed predictive performance.
• We build and deploy AnemiaScreen, an Android applica-
tion that runs the pipeline fully offline, stores screening
records on the device and states plainly where it falls
short of the reported model.