In this work we develop appearance models for computing the similarity between image
regions containing deformable objects of a given class in realtime. We introduce the concept of …

Limitations on the number of unique protein and DNA molecules that can be characterized
microscopically in a single tissue specimen impede advances in understanding the biological …

Computer-aided detection, localization, and segmentation methods can help improve
colonoscopy procedures. Even though many methods have been built to tackle automatic …

Supplier selection is a typical multi-criteria decision problem attracting great attention
recently. Cost, quality, delivery and flexibility are generally involved in the supplier selection …

A new probabilistic background model based on a Hidden Markov Model is presented. The
hidden states of the model enable discrimination between foreground, background and …

The increase of available large clinical and experimental datasets has contributed to a
substantial amount of important contributions in the area of biomedical image analysis. Image …

Recent advances in visual tracking methods allow following a given object or individual in
presence of significant clutter or partial occlusions in a single or a set of overlapping camera …

A growing number of screening applications require the automated monitoring of cell
populations in a high-throughput, high-content environment. These applications depend on …

Objective Complex phenotypes captured on histological slides represent the biological
processes at play in individual cancers, but the link to underlying molecular classification has not …

The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative to
address eminent problems in developing reliable computer aided detection and diagnosis …