Revisiting the utility of identifying nuclear grooves as unique nuclear changes by an object detector model
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 capable of identifying nuclear grooves in Diff-Quik stain