This article proposes codes for the primary tumor categories of adenocarcinoma in situ (AIS)
and minimally invasive adenocarcinoma (MIA) and a uniform way to measure tumor size in …

This paper overviews one of the most important, interesting, and challenging problems in
oncology, the problem of lung cancer diagnosis. Develo** an effective computer-aided …

These recommendations for measuring pulmonary nodules at computed tomography (CT)
are a statement from the Fleischner Society and, as such, incorporate the opinions of a …

Current computed tomography (CT) technology allows for near isotropic, submillimeter
resolution acquisition of the complete chest in a single breath hold. These thin-slice chest …

This paper presents an efficient algorithm for segmenting different types of pulmonary
nodules including high and low contrast nodules, nodules with vasculature attachment, and …

The incidence of indeterminate pulmonary nodules has risen constantly over the past few
years. Determination of lung nodule malignancy is pivotal, because the early diagnosis of …

Pulmonary nodule characterization is currently being redefined as new clinical, radiologic,
and pathologic data are reported, necessitating a reevaluation of the clinical management …

Volumetric growth assessment of pulmonary lesions is crucial to both lung cancer screening
and oncological therapy monitoring. While several methods for small pulmonary nodules …

We present new pulmonary nodule segmentation algorithms for computed tomography (CT).
These include a fully-automated (FA) system, a semi-automated (SA) system, and a hybrid …

A new variational level set approach is proposed for lung nodule segmentation in lung CT
scans. A general lung nodule shape model is proposed using implicit spaces as a signed …