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References from A deep transfer learning radiomics nomogram using chest CT for differentiating anterior mediastinal cysts from low-grade thymomas. Local targets link to admitted publications; unresolved targets remain external evidence.
Role of endobronchial ultrasound-guided transbronchial needle aspiration in the diagnosis and management of mediastinal cyst
10.1097/lbr.0000000000000640 · 2020 · External reference
Quantitative 3D shape analysis of CT images of thymoma: A comparison with histological types
10.2214/ajr.19.21844 · 2020 · External reference
Thymoma and thymic carcinomas
10.1016/j.critrevonc.2016.01.012 · 2016 · External reference
Age- and gender-specific disease distribution and the diagnostic accuracy of CT for resected anterior mediastinal lesions
10.1111/1759-7714.13081 · 2019 · External reference
Distribution of mediastinal lesions across multi-institutional, international, radiology databases
10.1016/j.jtho.2019.12.108 · 2020 · External reference
ITMIG consensus statement on the use of the WHO histological classification of thymoma and thymic carcinoma: Refined definitions, histological criteria, and reporting
10.1097/jto.0000000000000154 · 2014 · External reference
The 2015 World Health Organization classification of tumors of the thymus: Continuity and changes
10.1097/jto.0000000000000654 · 2015 · External reference
Does CT of thymic epithelial tumors enable us to differentiate histologic subtypes and predict prognosis
10.2214/ajr.183.2.1830283 · 2004 · External reference
High rate of unnecessary thymectomy and its cause. Can computed tomography distinguish thymoma, lymphoma, thymic hyperplasia, and thymic cysts
10.1016/j.ejrad.2014.11.042 · 2015 · External reference
Intrathymic cyst: Clinical and radiological features in surgically resected cases
10.1016/j.crad.2014.03.002 · 2014 · External reference
Clinical features, diagnosis and thoracoscopic surgical treatment of thymic cysts
10.21037/jtd.2017.10.148 · 2017 · External reference
Role of endoscopic ultrasound-guided fine needle aspiration in the diagnosis of mass lesions
10.3892/etm.2016.3433 · 2016 · External reference
Clinicopathological analysis of mediastinal masses: A mixed bag of non-neoplastic and neoplastic etiologies
10.5146/tjpath.2016.01371 · 2017 · External reference
Impact of endoscopic ultrasound-guided fine-needle aspiration and multidisciplinary approach in the management of abdominal or mediastinal mass
10.1097/meg.0000000000000390 · 2015 · External reference
Risk stratification of thymic epithelial tumors by using a nomogram combined with radiomic features and TNM staging
10.1007/s00330-020-07100-4 · 2021 · External reference
MRI-based radiomic signature as predictive marker for patients with head and neck squamous cell carcinoma
10.1016/j.ejrad.2019.06.019 · 2019 · External reference
Radiomics: Extracting more information from medical images using advanced feature analysis
10.1016/j.ejca.2011.11.036 · 2012 · External reference
Radiomics: Images are more than pictures, they are data
10.1148/radiol.2015151169 · 2016 · External reference
The rise of radiomics and implications for oncologic management
10.1093/jnci/djx055 · 2017 · External reference
Deep learning
10.1038/nature14539 · 2015 · External reference
Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
10.1038/s41467-020-15027-z · 2020 · External reference
Brain tumor/mass classification framework using magnetic-resonance-imaging-based isolated and developed transfer deep-learning model
10.3390/s22010372 · 2022 · External reference
Thyroid nodule classification in ultrasound imaging using deep transfer learning
10.1186/s12885-025-13917-3 · 2025 · External reference
Employing deep learning and transfer learning for accurate brain tumor detection
10.1038/s41598-024-57970-7 · 2024 · External reference
CT-based radiomics signature for differentiating Borrmann type IV gastric cancer from primary gastric lymphoma
10.1016/j.ejrad.2017.04.007 · 2017 · External reference
Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities
10.1016/j.media.2013.10.005 · 2014 · External reference
Detection of thymoma disease using mRMR feature selection and transformer models
10.3390/diagnostics14192169 · 2024 · External reference
Histogram analysis based on unenhanced CT for identifying thymoma and lymphoma among prevascular mediastinal incidentalomas
10.1186/s40644-023-00617-z · 2024 · External reference
Machine-learning classifiers based on non-enhanced computed tomography radiomics to differentiate anterior mediastinal cysts from thymomas and low-risk from high-risk thymomas: A multi-center study
10.3389/fonc.2022.1043163 · 2022 · External reference
Can computed tomography-based radiomics potentially discriminate between anterior mediastinal cysts and type B1 and B2 thymomas
10.1186/s12938-020-00833-9 · 2020 · External reference
Development and validation of contrast-enhanced CT-based deep transfer learning and combined clinical-radiomics model to discriminate thymomas and thymic cysts: A multicenter study
10.1016/j.acra.2023.10.018 · 2024 · External reference
Application of machine learning for the differentiation of thymomas and thymic cysts using deep transfer learning: A multi-center comparison of diagnostic performance based on different dimensional models
10.1111/1759-7714.15454 · 2024 · External reference
