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Journal Abstract Search

725 related items for PubMed ID: 32065285

  • 1. Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training.
    Lee JH, Ha EJ, Kim D, Jung YJ, Heo S, Jang YH, An SH, Lee K.
    Eur Radiol; 2020 Jun; 30(6):3066-3072. PubMed ID: 32065285
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  • 2. Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT.
    Lee JH, Ha EJ, Kim JH.
    Eur Radiol; 2019 Oct; 29(10):5452-5457. PubMed ID: 30877461
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  • 4. Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.
    Bedrikovetski S, Dudi-Venkata NN, Kroon HM, Seow W, Vather R, Carneiro G, Moore JW, Sammour T.
    BMC Cancer; 2021 Sep 26; 21(1):1058. PubMed ID: 34565338
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  • 5. Artificial intelligence-based prediction of cervical lymph node metastasis in papillary thyroid cancer with CT.
    Wang C, Yu P, Zhang H, Han X, Song Z, Zheng G, Wang G, Zheng H, Mao N, Song X.
    Eur Radiol; 2023 Oct 26; 33(10):6828-6840. PubMed ID: 37178202
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  • 6. Deep learning-based computer-aided diagnosis system for the automatic detection and classification of lateral cervical lymph nodes on original ultrasound images of papillary thyroid carcinoma: a prospective diagnostic study.
    Yuan Y, Pan B, Mo H, Wu X, Long Z, Yang Z, Zhu J, Ming J, Qiu L, Sun Y, Yin S, Zhang F.
    Endocrine; 2024 Sep 26; 85(3):1289-1299. PubMed ID: 38570388
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  • 7. Deep Learning-Based Computer-Aided Diagnosis System for Localization and Diagnosis of Metastatic Lymph Nodes on Ultrasound: A Pilot Study.
    Lee JH, Baek JH, Kim JH, Shim WH, Chung SR, Choi YJ, Lee JH.
    Thyroid; 2018 Oct 26; 28(10):1332-1338. PubMed ID: 30132411
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  • 8. Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma: utility of deep learning in their differentiation on CT.
    Onoue K, Fujima N, Andreu-Arasa VC, Setty BN, Sakai O.
    Am J Otolaryngol; 2021 Oct 26; 42(5):103026. PubMed ID: 33862564
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  • 9. Deep Learning Prediction of Axillary Lymph Node Metastasis in Breast Cancer Patients Using Clinical Implication-Applied Preprocessed CT Images.
    Park TY, Kwon LM, Hyeon J, Cho BJ, Kim BJ.
    Curr Oncol; 2024 Apr 18; 31(4):2278-2288. PubMed ID: 38668072
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  • 15. Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistance.
    Lee SE, Kim HJ, Jung HK, Jung JH, Jeon JH, Lee JH, Hong H, Lee EJ, Kim D, Kwak JY.
    Front Endocrinol (Lausanne); 2024 Apr 18; 15():1372397. PubMed ID: 39015174
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  • 18. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.
    Coy H, Hsieh K, Wu W, Nagarajan MB, Young JR, Douek ML, Brown MS, Scalzo F, Raman SS.
    Abdom Radiol (NY); 2019 Jun 18; 44(6):2009-2020. PubMed ID: 30778739
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  • 19. Performance of CT-based deep learning in diagnostic assessment of suspicious lateral lymph nodes in papillary thyroid cancer: a prospective diagnostic study.
    Zheng G, Zhang H, Lin F, Zafereo M, Gross N, Sun P, Liu Y, Sun H, Wu G, Wei S, Wu J, Mao N, Li G, Wu G, Zheng H, Song X.
    Int J Surg; 2023 Nov 01; 109(11):3337-3345. PubMed ID: 37578434
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  • 20. Deep learning nomogram for predicting lymph node metastasis using computed tomography image in cervical cancer.
    Li P, Feng B, Liu Y, Chen Y, Zhou H, Chen Y, Li W, Long W.
    Acta Radiol; 2023 Jan 01; 64(1):360-369. PubMed ID: 34874188
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