Application of deep learning as an ancillary diagnostic tool for thyroid FNA cytology-Reference-Cited by-同舟云学术

Application of deep learning as an ancillary diagnostic tool for thyroid FNA cytology

Published:2022-12-16 Issue:4 Volume:131 Page:217-225
ISSN:1934-662X
Container-title:Cancer Cytopathology
language:en
Short-container-title:Cancer Cytopathology

Author:

Hirokawa Mitsuyoshi¹^ORCID,Niioka Hirohiko²^ORCID,Suzuki Ayana¹^ORCID,Abe Masatoshi²^ORCID,Arai Yusuke²^ORCID,Nagahara Hajime²^ORCID,Miyauchi Akira³^ORCID,Akamizu Takashi⁴^ORCID

Affiliation:

1. Department of Diagnostic Pathology and Cytology Kuma Hospital Kobe Japan

2. Institute for Datability Science Osaka University Suita Japan

3. Department of Surgery Kuma Hospital Kobe Japan

4. Department of Internal Medicine Kuma Hospital Kobe Japan

Publisher

Wiley

Subject

Cancer Research,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cncy.22669

Reference34 articles.

1. 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer

2. Rapid Onsite Evaluation Improves the Adequacy of Fine-Needle Aspiration for Thyroid Lesions: A Systematic Review and Meta-Analysis

3. Thyroid Fine-Needle Aspiration and Smearing Techniques

4. The 2017 Bethesda System for Reporting Thyroid Cytopathology

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