Article

Deep Transfer Learning-based 3D super-resolution Radiomics modeling of CT to discriminate Brucella Spondylitis from Tuberculous Spondylitis: A multicenter, retrospective study

2024-06-12

Abstract excerpt

<title>Abstract</title> <p>To improve the accuracy in distinguishing between Tuberculosis Spondylitis (TBS) and Brucella spondylitis (BS) through the creation of radiomics deep Learning models. These models incorporate Deep Learning techniques and leverage CT image enhanced by Generative Adversarial Network-based Super-Resolution (GAN-SR).94 patients from Ordos Central and Second People's Hospitals diagnosed with...

Topics

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

Identifiers and source

Literature Corpus work: 93c9cb9c-4ac4-5ae8-98f4-c6896b476a15
DOI: 10.21203/rs.3.rs-4479368/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Transfer Learning-based 3D super-resolution Radiomics modeling of CT to discriminate Brucella Spondylitis from Tuberculous Spondylitis: A multicenter, retrospective studyDOI 10.21203/rs.3.rs-4479368/v1Read

3D U-Net For Segmentation of Covid-19-Associated Pulmonary Infiltrates Using Transfer Learning: State-Of-The-Art Results on Affordable HardwareSemantic proximity Read

Multimodal radiomics integrating deep learning and clinical features for diagnosing multidrug-resistant tuberculosis in HIV/AIDS patientsSemantic proximity Read

Explainability-Driven Tuberculosis Detection: GAN-Augmented CNN–Swin Transformer Hybrid Framework with Signal Processing InsightsSemantic proximity Read

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

CT-Based Radiomics Analysis of Consolidation Characteristics in Differentiating Pulmonary Disease of Nontuberculous Mycobacterium from TuberculosisSemantic proximity Read

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

The Value of CT Radiomics Analysis of Cavity Characteristics In Differentiating Nontuberculous Mycobacteriumpulmonary Disease From Pulmonary TuberculosisSemantic proximity Read

Whole-Lung CT Radiomics-Based Machine Learning Classification of Nontuberculous Mycobacterial Lung Disease Across Geographically Distinct CohortsSemantic proximity Read

Enhanced Diagnostic Accuracy in Musculoskeletal Radiography: A Comprehensive Ensemble Approach of Deep Learning ModelsSemantic proximity Read

Intratumoral and Peritumoral CT Radiomics-Clinical Feature Fusion Model for Differentiating Pulmonary Tuberculosis and Pulmonary Cryptococcosis NodulesSemantic proximity Read

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

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