Evaluation of the Classification Accuracy of the Kidney Biopsy Direct Immunofluorescence through Convolutional Neural Networks.
Journal:
Clinical journal of the American Society of Nephrology : CJASN
PMID:
32938617
Abstract
BACKGROUND AND OBJECTIVES: Immunohistopathology is an essential technique in the diagnostic workflow of a kidney biopsy. Deep learning is an effective tool in the elaboration of medical imaging. We wanted to evaluate the role of a convolutional neural network as a support tool for kidney immunofluorescence reporting.
Authors
Keywords
Adult
Aged
Area Under Curve
Biopsy
Complement C1q
Complement C3
Female
Fibrinogen
Fluorescent Antibody Technique, Direct
Humans
Image Processing, Computer-Assisted
Immunoglobulin kappa-Chains
Immunoglobulin lambda-Chains
Immunoglobulins
Kidney
Kidney Diseases
Male
Middle Aged
Neural Networks, Computer
ROC Curve