Convolutional neural networks for detection of transthyretin amyloidosis in 2D scintigraphy images

Abstract

Automated convolutional neural networks can accurately detect and classify different grades of cardiac uptake on bone scintigraphy. The CNN models are focused on clinically relevant image features. Automated screening of bone scintigraphy images using CNN could improve the early diagnosis of ATTR.