Thyroid pathology has great potential for automated/artificial intelligence (AI) 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 AI applications to thyroid pathology with whole-slide imaging (WSI).
Impact of Image Analysis and Artificial Intelligence in Thyroid Pathology, with particular reference to cytological aspects / Girolami, Ilaria; Marletta, Stefano; Pantanowitz, Liron; Torresani, Evelin; Ghimenton, Claudio; Barbareschis, Mattia; Scarpa, Aldo; Brunelli, Matteo; Barresi, Valeria; Trimboli, Pierpaolo; Eccher, Albino. - In: CYTOPATHOLOGY. - ISSN 0956-5507. - 31:5(2020), pp. 432-444. [10.1111/cyt.12828]
Impact of Image Analysis and Artificial Intelligence in Thyroid Pathology, with particular reference to cytological aspects
Eccher, Albino
2020
Abstract
Thyroid pathology has great potential for automated/artificial intelligence (AI) 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 AI applications to thyroid pathology with whole-slide imaging (WSI).
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