Article

Deep Learning Based on DeepLabv3+ for Automated Identification, Segmentation, and Quantification of Fungi in Clinical Fluorescence Microscopy Images

2026-05-13

Abstract excerpt

<title>Abstract</title> <p>Background Fungal fluorescence microscopy using Calcofluor White is a rapid and sensitive diagnostic tool for fungal infections. However, manual microscopic examination is limited by high subjectivity, observer fatigue, poor reproducibility, and a heavy reliance on professional expertise—particularly in high-throughput clinical screening. Objectives To develop and validate a DeepLabv3...

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Literature Corpus work: e0003399-bb4d-5635-8999-95244a96bf5c
DOI: 10.21203/rs.3.rs-9347809/v1

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Deep Learning Based on DeepLabv3+ for Automated Identification, Segmentation, and Quantification of Fungi in Clinical Fluorescence Microscopy ImagesDOI 10.21203/rs.3.rs-9347809/v1Read

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