With the recent success of computer vision and deep learning, remarkable progress has
been achieved on automatic personal recognition using vein biometrics. However, collecting …

Objective: Dermatological diseases are public health problems. Several factors including
subjective diagnosis, lack of enough dermatologists, inability to go to a dermatologist due to …

Background and objectives: Automatic retinal vessel segmentation (RVS) in fundus images
is expected to be a vital step in the early image diagnosis of ophthalmologic diseases …

Retinal blood vessels are considered valuable biomarkers for the detection of diabetic
retinopathy, hypertensive retinopathy, and other retinal disorders. Ophthalmologists analyze …

Vessel segmentation contributes to precise diagnosis of fundus diseases. However, due to
the existence of micro vessels and class imbalance, it remains a challenging task to …

Smart mobility initiatives encompass innovative methods to support traffic management
experts in decisions for how to improve urban infrastructures and reduce carbon footprint …

Smart cities leverage large amounts of data acquired in the urban environment in the context
of decision support tools. These tools enable monitoring the environment to improve the …

Featured Application Novel method for Automated Cell Detection and Counting (ACDC) in
time-lapse fluorescence microscopy. Abstract Advances in microscopy imaging technologies …

The aim of this work was to develop a method for the automatic identification of exudates,
using an unsupervised clustering approach. The ability to classify each pixel as belonging to …

Abstract Background The World Health Organization states that the number of patients
suffering from diabetes has shot up by nearly four times from 108 millions in 1980 to 422 …