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References from Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network. Local targets link to admitted publications; unresolved targets remain external evidence.
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Encapsulated follicular variant of papillary thyroid cancer: are these tumors really benign?
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Impact of imaging cross-section on visualization of thyroid microvessels using ultrasound: pilot study
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Diagnostic accuracy of thyroid nodule growth to predict malignancy in thyroid nodules with benign cytology: systematic review and meta-analysis
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Artificial intelligence in cytopathology: a neural network to identify papillary carcinoma on thyroid fine-needle aspiration cytology smears
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Machine learning–assisted system for thyroid nodule diagnosis
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Classifier model based on machine learning algorithms: application to differential diagnosis of suspicious thyroid nodules via sonography
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The use of artificial intelligence in the diagnosis and classification of thyroid nodules: an update
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Computer-aided diagnosis for classifying benign versus malignant thyroid nodules based on ultrasound images: a comparison with radiologist-based assessments
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Radiomics: extracting more information from medical images using advanced feature analysis
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Ct-based radiomics features in the prediction of thyroid cartilage invasion from laryngeal and hypopharyngeal squamous cell carcinoma
2020 · External reference
Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network
2020 · External reference
A deep learning–based algorithm for tall cell detection in papillary thyroid carcinoma
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Automatic detection of thyroid and adrenal incidentals using radiology reports and deep learning
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Deep learning based classification of ultrasound images for thyroid nodules: a large scale of pilot study
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Evaluation of a deep learning-based computer-aided diagnosis system for distinguishing benign from malignant thyroid nodules in ultrasound images
10.1002/mp.14301 · 2020 · External reference
Dna methylation-based classification of sinonasal tumors
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Molecular classification of ependymal tumors across all cns compartments, histopathological grades, and age groups
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New brain tumor entities emerge from molecular classification of cns-pnets
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Tissue-independent and tissue-specific patterns of dna methylation alteration in cancer
10.1186/s13072-016-0058-4 · 2016 · External reference
Classification of thyroid tumors based on dna methylation patterns
2023 · External reference
A linear regression and deep learning approach for detecting reliable genetic alterations in cancer using dna methylation and gene expression data
10.3390/genes11080931 · 2020 · External reference
A novel biomarker identification approach for gastric cancer using gene expression and dna methylation dataset
2021 · External reference
Precision gynecologic oncology: circulating cell free dna epigenomic analysis, artificial intelligence and the accurate detection of ovarian cancer
2022 · External reference
Discovery of cross-reactive probes and polymorphic cpgs in the illumina infinium humanmethylation450 microarray
10.4161/epi.23470 · 2013 · External reference
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A narrative review of artificial intelligence-assisted histopathologic diagnosis and decision-making for non-small cell lung cancer: achievements and limitations
10.21037/jtd-21-806 · 2021 · External reference
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Random forest classifier combined with feature selection for breast cancer diagnosis and prognostic
2013 · External reference
Receiver operating characteristic (roc) curve analysis for medical diagnostic test evaluation
2013 · External reference
Association between circulating cd4+ t cell methylation signatures of network-oriented socs3 gene and hemodynamics in patients suffering pulmonary arterial hypertension
10.1007/s12265-022-10294-1 · 2023 · External reference
10.1080/15592294.2021.1939481
10.1080/15592294.2021.1939481 · External reference
Limma powers differential expression analyses for rna-sequencing and microarray studies
10.1093/nar/gkv007 · 2015 · External reference
A diagnostic model based on dna methylation haplotype block characteristics for identifying papillary thyroid carcinoma from thyroid adenoma
10.1016/j.trsl.2023.10.001 · 2024 · External reference
Cell-free dna methylation biomarker for the diagnosis of papillary thyroid carcinoma
10.1016/j.ebiom.2023.104497 · 2023 · External reference
Comprehensive dna methylation profiling identifies novel diagnostic biomarkers for thyroid cancer
10.1089/thy.2019.0011 · 2020 · External reference
Methylation markers for early detection and differentiation of follicular thyroid cancer subtypes
2015 · External reference
Evolution of intra-tumoral heterogeneity across different pathological stages in papillary thyroid carcinoma
10.1186/s12935-022-02680-1 · 2022 · External reference
Comparison of dna methylation based classification models for precision diagnostics of central nervous system tumors
10.1038/s41698-024-00718-3 · 2024 · External reference
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Dna methylation markers for pan-cancer prediction by deep learning
10.3390/genes10100778 · 2019 · External reference
Errors in cancer diagnosis: current understanding and future directions
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A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on dna methylation
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A multi-tissue full lifespan epigenetic clock for mice
10.18632/aging.101590 · 2018 · External reference
Castration delays epigenetic aging and feminizes dna methylation at androgen-regulated loci
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Application of deep learning in cancer epigenetics through dna methylation analysis
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2020 · External reference
