Revisiting the utility of identifying nuclear grooves as unique nuclear changes by an object detector model

• Auteurs principaux: Pedro R. F. Rende (Auteur), Joel Machado Pires (Auteur), Kátia Sakimi Nakadaira (Auteur), Sara Lopes (Auteur), João Vale (Auteur), Fabio Hecht (Auteur), Fabyan E. L. Beltrão (Auteur), Gabriel J. R. Machado (Auteur), Edna T. Kimura (Auteur), Catarina Eloy (Auteur), Helton E. Ramos (Auteur)
• Format: Livre
• Publié: Korean Society of Pathologists & the Korean Society for Cytopathology, 2024-05-01T00:00:00Z.
• Sujets: article
• Accès en ligne: Connect to this object online.

Background Among other structures, nuclear grooves are vastly found in papillary thyroid carcinoma (PTC). Considering that the application of artificial intelligence in thyroid cytology has potential for diagnostic routine, our goal was to develop a new supervised convolutional neural network capabl...