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Impact of image analysis and artificial intelligence in thyroid pathology, with particular reference to cytological aspects.
Cytopathology ( IF 1.3 ) Pub Date : 2020-04-05 , DOI: 10.1111/cyt.12828
Ilaria Girolami 1 , Stefano Marletta 1 , Liron Pantanowitz 2 , Evelin Torresani 1 , Claudio Ghimenton 1 , Mattia Barbareschi 3 , Aldo Scarpa 1 , Matteo Brunelli 1 , Valeria Barresi 1 , Pierpaolo Trimboli 4 , Albino Eccher 1
Affiliation  

Thyroid pathology has great potential for automated/artificial intelligence algorithm application as the incidence of thyroid nodules is increasing and the indeterminate interpretation rate of fine‐needle aspiration remains relatively high. The aim of the study is to review the published literature on automated image analysis and artificial intelligence applications to thyroid pathology with whole‐slide imaging.

中文翻译:

图像分析和人工智能在甲状腺病理学中的影响,特别是在细胞学方面。

随着甲状腺结节的发病率不断增加,细针穿刺的不确定性解释率仍然相对较高,甲状腺病理学在自动化/人工智能算法应用方面具有巨大潜力。该研究的目的是回顾已发表的有关自动图像分析和人工智能在全玻片成像中应用于甲状腺病理学的文献。
更新日期:2020-04-05
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