English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Automatic detection of abnormalities or lesions that are attached to other anatomies in medical image analysis is always a very challenge problem, especially when the lesions are small. In this paper a novel method for the automatic detection of lung cancers or nodules attached to vessels in high-resolution multi-slice CT images is presented. We propose to use volume projection analysis to mimic physicians' practices in making diagnosis. The volume projection analysis is performed on 1-dimensional curves obtained from the 3-dimensional volume. A multiscale detection framework is proposed to detect nodules of various sizes. A set of features for characterizing nodules is defined. Results of experimental evaluation of the method are presented.

Automatic Detection of Nodules Attached to Vessels in Lung CT by Volume Projection Analysis