National University of Singapore

Singapore Health Services Pte Ltd

Dejiang Xu

Tien Yin Wong

Wynne Hsu

Mong Li Lee

Yim Lui Cheung

Disclosed is a method for training a neural network to quantify the vessel calibre of retina fundus images. The method involves receiving a plurality of fundus images; pre-processing the fundus images to normalise images features of the fundus images; and training a multi-layer neural network, the neural network comprising of a convolutional unit, multiple dense blocks alternating with transition units for down-sampling image features determined by the neural network, and a fully-connected unit, wherein each dense block comprises a series of cAdd units packed with multiple convolutions, and each transition layer comprises a convolution with pooling.

Growing community of inventors

Singapore, Singapore

Dejiang Xu