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

Understanding the biological underpinnings of movement and action requires the
development of tools for quantitative measurements of animal behavior. Drosophila …

Intensive research has been carried out on Active Contours (AC) models and many efforts
have been made to increase their robustness. The success of an AC model relies heavily on …

Segmenting complex 3D geometry is a challenging task due to rich structural details and
complex appearance variations of target object. Shape representation and foreground …

Ocean surveillance is an important application of synthetic aperture radar (SAR) image
interpretation. In the ocean, the ship target usually attracts the attention of researchers …

We present a new family of active surfaces for the semiautomatic segmentation of volumetric
objects in 3D biomedical images. We represent our deformable model by a subdivision …

A segmentation approach using snake splines and a flower pollination based feature
selection are suggested in this work to diagnose lung cancer from Computed Tomography …

The glomerular filtration rate (GFR) is a crucial index to measure renal function. In daily
clinical practice, the GFR can be estimated using the Gates method, which requires the …

We provide a generic framework to learn shape dictionaries of landmark-based curves that
are defined in the continuous domain. We first present an unbiased alignment method that …

From understanding how cell shape can be a biomarker in cancer diagnosis and prognosis
to how change in cell shape dictates embryogenesis, morphology quantification is crucial in …