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Differentiation of Pneumocystis Pneumonia from Pulmonary Tuberculosis in HIV/AIDS Patients Using a CT-based Multimodal Deep Learning Model

2026-06-03

Abstract excerpt

<title>Abstract</title> <p>Objective To develop a multimodal deep learning (DL) model based on computed tomography (CT) images for differentiating Pneumocystis pneumonia (PJP) from pulmonary tuberculosis (PTB) in patients with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS). Methods We analyzed 309 patients with confirmed HIV/AIDS who were admitted to the Fourth People's Hospital of N...

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Literature Corpus work
9dbd5bd1-b4e2-5652-a751-0c85ab0c5084
DOI
10.21203/rs.3.rs-9487329/v1
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Differentiation of Pneumocystis Pneumonia from Pulmonary Tuberculosis in HIV/AIDS Patients Using a CT-based Multimodal Deep Learning ModelDOI 10.21203/rs.3.rs-9487329/v1
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