Yalin Zheng

TL;DR: The proposed OCT is a noncontact, high-resolution technique that has the potential for inclusion as part of the quality assurance process in automobile coating.

TL;DR: A time-domain (TD) full-field (FF) optical coherence tomography (OCT) system to scan automotive panels volumetrically, non-destructively and without contact is designed and developed and a segmentation method to automatically distinguish flakes and allow measurement of their properties is developed.

TL;DR: The results show the effectiveness of DL for predicting nBAP1 expression in UM on the basis of H&E sections only, and demonstrates a high capacity of artificial intelligence-related techniques for automated prediction on the based of histomorphology, and may be translatable into routine histology laboratories.

TL;DR: Data reveal that a public health announcement-type intervention could be effective at improving coverage of high risk areas of the face, however high risk Areas are likely to remain unprotected therefore other mechanisms of sun protection should be widely promoted such as UV blocking sunglasses.

TL;DR: This paper presents a new technique for addressing the issue of distinguishing automatically between vessel bifurcations and vessel crossings in colour fundus photographs using a convolutional neural network approach, which has the potential to facilitate: reconstruction of vessel topography, classification of veins and arteries and automated localisation of blood clots and other disease symptoms leading to improved management of eye disease.