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).
|Titolo:||Impact of Image Analysis and Artificial Intelligence in Thyroid Pathology, with particular reference to cytological aspects|
ECCHER, Albino (Corresponding)
|Data di pubblicazione:||2020|
|Appare nelle tipologie:||01.01 Articolo in Rivista|