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;Torresani, Evelin;Ghimenton, Claudio;Scarpa, Aldo;Brunelli, Matteo;Barresi, Valeria;Eccher, Albino
2020-01-01
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).File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.