In recent years, advancements in machine learning (ML) techniques, in particular, deep
learning (DL) methods have gained a lot of momentum in solving inverse imaging problems …

Alzheimer disease is a neurodegenerative disorder that impairs memory, cognitive function,
and gradually leads to dementia, physical deterioration, loss of independence, and death of …

Segmentation of ultrasound (US) images of breast cancer is one of the most challenging
problems of the modern medical image processing. A number of popular codes for US …

Motivation Although high-content image cytometry is becoming increasingly routine,
processing the large amount of data acquired during time-lapse experiments remains a …

Active contours or snakes are widely used for segmentation and tracking. These techniques
require the minimization of an energy function, which is generally a linear combination of a …

Parametric active contours are an attractive approach for image segmentation, thanks to
their computational efficiency. They are driven by application-dependent energies that …

Computer aided diagnostics of the breast cancer is one of the most challenging problems of
the contemporary medical image processing. Computerized detection of the breast tumors …

We propose a modification of the generalized gradient vector flow field techniques based on
a continuous force field analysis. At every iteration the generalized gradient vector flow …

Buildings are regarded as the most prominent man‐made objects: hence, their automatic
extraction from aerial and satellite images has attracted the interest of photogrammetric …

The aim of this work is to propose an improved intensive restraint topology adaptive snake
model for detecting and tracking target contours with complex topological morphology from …