Article

Application of deep learning to automated diagnosis of computed tomography images of pulmonary infections

2025-05-13

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold>Currently, clinical pathogen diagnosis primarily consists of two methods: high-throughput sequencing and traditional culture. However, considering the evident limitations in terms of time and cost associated with the diagnostic process, there is an urgent need for a highly sensitive diagnostic and detection system to complement traditional methods. Therefore, thi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a8a1603d-0a5f-5473-a1ec-fa1e6fbea90e
DOI: 10.21203/rs.3.rs-6323914/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Application of deep learning to automated diagnosis of computed tomography images of pulmonary infectionsDOI 10.21203/rs.3.rs-6323914/v1Read

Prediction of COVID-19 Diagnosis from Healthy and Pneumonia CT scans using Convolutional Neural NetworksSemantic proximity Read

Deep Learning‑based Ultra-high-resolution CT imaging of Viral Pneumonia at Admission and after DischargeSemantic proximity Read

Comparative Analysis of Deep Learning Architectures for Multi-Disease Classification of Chest X-raysSemantic proximity Read

Automated Quantification of Pneumonia Infected Volume in Lung CT Images: A Comparison With Subjective Assessment of RadiologistsSemantic proximity Read

Automated assessment of chest CT severity scores in patients suspected of COVID-19 infectionSemantic proximity Read

System for Quantitative Diagnosis of COVID-19-Associated Pneumonia Based on Superpixels With Deep Learning and Chest CTSemantic proximity Read

MedGAN-Net:a computer-aided diagnosis approach based on deep learning for COVID-19 with CT imagesSemantic proximity Read

Deep-learning convolutional neural networks with transfer learning accurately classify COVID19 lung infection on portable chest radiographsSemantic proximity Read

Deep Learning-Based Throat Infection Detection: A Transfer Learning Approach with MobileNet, ResNet and DenseNet with Augmented Medical Image AnalysisSemantic proximity Read

Training deep learning algorithms with weakly labeled pneumonia chest X-ray data for COVID-19 detectionSemantic proximity Read

Benchmarking Deep Learning Models and Automated Model Design for COVID-19 Detection with Chest CT ScansSemantic proximity Read

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