Curvilinear object segmentation is a paramount step for many applications ranging from
medical to aerial image processing. In particular, vessel segmentation in retinal images …

This paper describes a framework for establishing a reference airway tree segmentation,
which was used to quantitatively evaluate 15 different airway tree extraction algorithms in a …

This paper presents a method for airway tree segmentation that uses a combination of a
trained airway appearance model, vessel and airway orientation information, and region …

Inflammatory and infectious lung diseases commonly involve bronchial airway structures
and morphology, and these abnormalities are often analyzed non-invasively through high …

Background Computed tomography (CT) helps physicians locate and diagnose pathological
conditions. In some conditions, having an airway segmentation method which facilitates …

The airway tree is one of the most important part in human respiratory system. Airway
segmentation plays a crucial role in pulmonary disease diagnosis, localization and surgical …

We present a graph-based framework for airway tree reconstruction from computerized
tomography (CT) scans and evaluate the performance of different feature categories and …

In this paper, an airway labeling algorithm that allows for gaps between the labeled
branches is introduced. A bottom-up approach for arriving to an optimal set of branches and …

Using different priors (eg shape and appearance) have proven critical for robust image
segmentation of different types of target objects. Many existing methods for extracting trees …

Lung cancer is one of the deadliest and most common types of cancer inNorway. Early and
precise diagnosis is crucial for improving the survivalrate. Diagnosis is often done by …