An ensemble deep learning for automatic prediction of papillary thyroid carcinoma using fine needle aspiration cytology
Abstract
Accurately cytopathological diagnosis of Papillary Thyroid Carcinoma (PTC) is of importance for reducing costs and increasing efficiency of treatments. In this paper, we pursue that goal by introducing artificial intelligence (AI) for automatic classification of malignant PTC cell clusters from Fine Needle Aspiration Cytology (FNAC) processed by ThinPrep. High-resolution cytological images obtained with a 40 × objective lens digital camera...
Paper Details
Title
An ensemble deep learning for automatic prediction of papillary thyroid carcinoma using fine needle aspiration cytology
Published Date
Feb 1, 2022
Volume
188
Pages
115927 - 115927
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