Literature DB >> 30842054

Deep convolutional neural network models for the diagnosis of thyroid cancer.

Eun Ju Ha1, Jung Hwan Baek2, Dong Gyu Na3.   

Abstract

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Year:  2019        PMID： 30842054     DOI： 10.1016/S1470-2045(19)30086-5

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN： 1470-2045            Impact factor:   41.316


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  4 in total

1.  Applications of machine learning and deep learning to thyroid imaging: where do we stand?

Authors:  Eun Ju Ha; Jung Hwan Baek
Journal:  Ultrasonography       Date:  2020-07-03

2.  Convolutional Neural Network to Stratify the Malignancy Risk of Thyroid Nodules: Diagnostic Performance Compared with the American College of Radiology Thyroid Imaging Reporting and Data System Implemented by Experienced Radiologists.

Authors:  G R Kim; E Lee; H R Kim; J H Yoon; V Y Park; J Y Kwak
Journal:  AJNR Am J Neuroradiol       Date:  2021-05-13       Impact factor: 4.966

3.  Computer-Aided Diagnostic System for Thyroid Nodules on Ultrasonography: Diagnostic Performance Based on the Thyroid Imaging Reporting and Data System Classification and Dichotomous Outcomes.

Authors:  M Han; E J Ha; J H Park
Journal:  AJNR Am J Neuroradiol       Date:  2020-12-24       Impact factor: 3.825

Review 4.  Spatial architecture of the immune microenvironment orchestrates tumor immunity and therapeutic response.

Authors:  Tong Fu; Lei-Jie Dai; Song-Yang Wu; Yi Xiao; Ding Ma; Yi-Zhou Jiang; Zhi-Ming Shao
Journal:  J Hematol Oncol       Date:  2021-06-25       Impact factor: 17.388
  4 in total

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