Funding sources: NoneUse of convolutional neural networks for the detection of u-serrated patterns in direct immunofluorescence images to facilitate the diagnosis of epidermolysis bullosa acquisita

The objective of this study is to investigate the feasibility of using convolutional neural networks (CNNs) for the recognition of u-serrated patterns that can assist in diagnosis of EBA.Nine most commonly used CNNs are trained and validated by using 220,800 manually delineated DIF image patches from 106 images of 46 different patients.
Source: American Journal of Pathology - Category: Pathology Authors: Tags: Short Communication Source Type: research