Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid
Early diagnosis and prognostication of a central nervous system (CNS) infection is essential. This study aims to use immune‐cell morphology to develop a deep‐learning model for this purpose. Overall, 1427 3D images of cerebrospinal fluid (CSF) immune cells from 14 patients with CNS infections are ob...
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| Main Authors: | Bo Kyu Choi, Ho Heon Yang, Jong Hyun Kim, JaeSeong Hong, Kyung Min Kim, Yu Rang Park |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
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| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202401145 |
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