Article

A Lightweight Deep Learning Framework for Reliable Microscopy-Based Diagnosis of Cutaneous Leishmaniasis

2025-12-08

Abstract excerpt

<title>Abstract</title> <p>Purpose Cutaneous leishmaniasis (CL) is a neglected tropical and zoonotic disease that threatens both human and animal health. Microscopic diagnosis remains the reference standard but is time-consuming and operator-dependent. This study aimed to develop a lightweight, calibration-aware deep learning framework for automated amastigote detection and slide-level diagnosis from Giemsa-stain...

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Literature Corpus work: 277cb36b-2e07-5ce0-8fc8-67742dc4e7f7
DOI: 10.21203/rs.3.rs-8065982/v1

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