Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global
interest in recent years. DL has been widely adopted in image recognition, speech …

The advent of computer graphic processing units, improvement in mathematical models and
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …

Accurate crop type mapping provides numerous benefits for a deeper understanding of food
systems and yield prediction. Ever-increasing big data, easy access to high-resolution …

In this paper, we present a semi-supervised deep learning approach to accurately recover
high-resolution (HR) CT images from low-resolution (LR) counterparts. Specifically, with the …

Abstract The Local Climate Zone (LCZ) scheme is a classification system providing a
standardization framework to present the characteristics of urban forms and functions …

Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the
condition of the back part of the eye. The condition has a great effect on the specificity of …

Deep learning methods have enabled a fast, accurate and automated approach for retinal
layer segmentation in posterior segment OCT images. Due to the success of semantic …

The choroid is a vascular tissue which plays a range of critical roles in the normal physiology
of the eye, such as supplying the outer retina with oxygen and nutrients and the regulation of …

The manual segmentation of individual retinal layers within optical coherence tomography
(OCT) images is a time-consuming task and is prone to errors. The investigation into …

Retinal optical coherence tomography (OCT) images provide fundamental information
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …