Adjustment and validation of convolutional neural network for indirect immunofluorescence interpretation of antinuclear and anti-neutrophil cytoplasmic antibodies: A multicenter study.
OBJECTIVES Indirect immunofluorescence (IIF) is the gold standard for autoantibody detection in autoimmune diseases but remains limited by subjective interpretation. We aimed to adjust and validate a standardized convolutional neural network (CNN)-based interpretation system for antinuclear antibody (ANA) and anti-neut...