Reliable Sarcoidosis Detection Using Chest X-rays with EfficientNets and Stain-Normalization Techniques
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Reliable Sarcoidosis Detection Using Chest X-rays with EfficientNets and Stain-Normalization Techniques
Authors
Keywords
-
Journal
SENSORS
Volume 22, Issue 10, Pages 3846
Publisher
MDPI AG
Online
2022-05-20
DOI
10.3390/s22103846
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- New laboratory criteria of the autoimmune inflammation in pulmonary sarcoidosis and tuberculosis
- (2021) A. Malkova et al. CLINICAL IMMUNOLOGY
- Classification of Hematoxylin and Eosin-Stained Breast Cancer Histology Microscopy Images Using Transfer Learning with EfficientNets
- (2021) Chanaleä Munien et al. Computational Intelligence and Neuroscience
- ARIMA Model Estimation Based on Genetic Algorithm for COVID-19 Mortality Rates
- (2021) Mohanad A. Deif et al. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
- Pulmonary Sarcoidosis: Diagnosis and Differential Diagnosis
- (2021) Nicol Bernardinello et al. Diagnostics
- Automated Triage System for Intensive Care Admissions during the COVID-19 Pandemic Using Hybrid XGBoost-AHP Approach
- (2021) Mohanad A. Deif et al. SENSORS
- A Hybrid Multi-Objective Optimizer-Based SVM Model for Enhancing Numerical Weather Prediction: A Study for the Seoul Metropolitan Area
- (2021) Mohanad A. Deif et al. Sustainability
- Two-stage classification of tuberculosis culture diagnosis using convolutional neural network with transfer learning
- (2020) Ray-I Chang et al. JOURNAL OF SUPERCOMPUTING
- Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques
- (2020) Moajjem Hossain Chowdhury et al. SENSORS
- Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray
- (2020) Tawsifur Rahman et al. Applied Sciences-Basel
- Sarcoidosis: Causes, Diagnosis, Clinical Features, and Treatments
- (2020) Rashi Jain et al. Journal of Clinical Medicine
- Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization
- (2019) F. Pasa et al. Scientific Reports
- Role of CT Chest and Cytology in Differentiating Tuberculosis from Presumed Sarcoidosis in Uveitis
- (2018) Reema Bansal et al. OCULAR IMMUNOLOGY AND INFLAMMATION
- Specific features of immune complexes in patients with sarcoidosis and pulmonary tuberculosis
- (2018) Anna Starshinova et al. IMMUNOLOGIC RESEARCH
- The TB Portals: an Open-Access, Web-Based Platform for Global Drug-Resistant-Tuberculosis Data Sharing and Analysis
- (2017) Alex Rosenthal et al. JOURNAL OF CLINICAL MICROBIOLOGY
- Coexistent Sarcoidosis and Tuberculosis: A Case Report
- (2017) Cristiano Carbonelli et al. RESPIRATION
- Biomarkers in sarcoidosis
- (2016) Amit Chopra et al. Expert Review of Clinical Immunology
- Characteristics of sarcoidosis in Maori and Pacific Islanders
- (2016) Margaret L. Wilsher et al. RESPIROLOGY
- Correction: Significant CD4, CD8, and CD19 Lymphopenia in Peripheral Blood of Sarcoidosis Patients Correlates with Severe Disease Manifestations
- (2014) Nadera J. Sweiss et al. PLoS One
- Tuberculosis in the course of sarcoidosis treatment: is genotyping necessary for personalized therapy?
- (2013) Anna Dubaniewicz et al. Expert Review of Clinical Immunology
- Sarcoidosis
- (2013) Dominique Valeyre et al. LANCET
- Sarcoidosis and tuberculosis
- (2012) Dheeraj Gupta et al. CURRENT OPINION IN PULMONARY MEDICINE
- ECG Abnormalities in Patients with Sarcoidosis
- (2010) M. Thunéll et al. ACTA MEDICA SCANDINAVICA
- Urine for the diagnosis of tuberculosis: current approaches, clinical applicability, and new developments
- (2010) Jonathan Peter et al. CURRENT OPINION IN PULMONARY MEDICINE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More