Glaucoma is one of the major reasons for visual impairment all across the globe. The recent
advancements in machine learning techniques have greatly facilitated ophthalmologists in …

The use of superpixels instead of pixels can significantly improve the speed of the current
pixel-based algorithms, and can even produce better results in many applications such as …

Glaucoma is the number one cause of irreversible blindness globally. A major challenge for
accurate glaucoma detection and progression forecasting is the bottleneck of limited labeled …

Background The ever-growing need for cheap, simple, fast, and accurate healthcare
solutions spurred a lot of research activities which are aimed at the reliable deployment of …

Liver cancer is one of the most common cancers. Liver tumor segmentation is one of the
most important steps in treating liver cancer. Accurate tumor segmentation on computed …

Glaucoma is an eye disease that damages the optic nerve head (ONH) causing loss of
vision. Therefore, early diagnosis and treatment are important in preventing possible …

Convolutional neural network (CNN) can be applied in glaucoma detection for achieving
good performance. However, its performance depends on the availability of a large number …

We propose a joint segmentation and classification deep model for early glaucoma
diagnosis using retina imaging with optical coherence tomography (OCT). Our motivation …

This paper is mainly aimed at the decomposition of image quality assessment study by using
Three Parameter Logistic Mixture Model and k-means clustering (TPLMM-k). This method is …

This book is based on my Ph. D. dissertation completed at Ghent University (Belgium) and
the University of Granada (Spain) in June 2018. It focuses on classification. The goal is to …