Literature DB >> 19965010

A public image database to support research in computer aided diagnosis.

A P Reeves1, A M Biancardi, D Yankelevitz, S Fotin, B M Keller, A Jirapatnakul, J Lee.   

Abstract

The Public Lung Database to address drug response (PLD) has been developed to support research in computer aided diagnosis (CAD). Originally established for applications involving the characterization of pulmonary nodules, the PLD has been augmented to provide initial datasets for CAD research of other diseases. In general, the best performance for a CAD system is achieved when it is trained with a large amount of well documented data. Such training databases are very expensive to create and their lack of general availability limits the targets that can be considered for CAD applications and hampers development of the CAD field. The approach taken with the PLD has been to make available small datasets together with both manual and automated documentation. Furthermore, datasets with special properties are provided either to span the range of task complexity or to provide small change repeat images for direct calibration and evaluation of CAD systems. This resource offers a starting point for other research groups wishing to pursue CAD research in new directions. It also provides an on-line reference for better defining the issues relating to specific CAD tasks.

Entities:  

Mesh:

Year:  2009        PMID: 19965010     DOI: 10.1109/IEMBS.2009.5334807

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  6 in total

1.  Local noise estimation in low-dose chest CT images.

Authors:  J Padgett; A M Biancardi; C I Henschke; D Yankelevitz; A P Reeves
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-07-23       Impact factor: 2.924

2.  Automated 3D closed surface segmentation: application to vertebral body segmentation in CT images.

Authors:  Shuang Liu; Yiting Xie; Anthony P Reeves
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-11-11       Impact factor: 2.924

3.  The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.

Authors:  Samuel G Armato; Geoffrey McLennan; Luc Bidaut; Michael F McNitt-Gray; Charles R Meyer; Anthony P Reeves; Binsheng Zhao; Denise R Aberle; Claudia I Henschke; Eric A Hoffman; Ella A Kazerooni; Heber MacMahon; Edwin J R Van Beeke; David Yankelevitz; Alberto M Biancardi; Peyton H Bland; Matthew S Brown; Roger M Engelmann; Gary E Laderach; Daniel Max; Richard C Pais; David P Y Qing; Rachael Y Roberts; Amanda R Smith; Adam Starkey; Poonam Batrah; Philip Caligiuri; Ali Farooqi; Gregory W Gladish; C Matilda Jude; Reginald F Munden; Iva Petkovska; Leslie E Quint; Lawrence H Schwartz; Baskaran Sundaram; Lori E Dodd; Charles Fenimore; David Gur; Nicholas Petrick; John Freymann; Justin Kirby; Brian Hughes; Alessi Vande Casteele; Sangeeta Gupte; Maha Sallamm; Michael D Heath; Michael H Kuhn; Ekta Dharaiya; Richard Burns; David S Fryd; Marcos Salganicoff; Vikram Anand; Uri Shreter; Stephen Vastagh; Barbara Y Croft
Journal:  Med Phys       Date:  2011-02       Impact factor: 4.071

4.  Voxel-based comparative analysis of lung lesions in CT for therapeutic purposes.

Authors:  Stelmo Magalhães Barros Netto; Aristófanes Corrêa Silva; Rodolfo Acatauassú Nunes; Marcelo Gattass
Journal:  Med Biol Eng Comput       Date:  2016-05-14       Impact factor: 2.602

5.  Large-scale image region documentation for fully automated image biomarker algorithm development and evaluation.

Authors:  Anthony P Reeves; Yiting Xie; Shuang Liu
Journal:  J Med Imaging (Bellingham)       Date:  2017-06-07

6.  A Point-Matching Method of Moment with Sparse Bayesian Learning Applied and Evaluated in Dynamic Lung Electrical Impedance Tomography.

Authors:  Christos Dimas; Vassilis Alimisis; Nikolaos Uzunoglu; Paul P Sotiriadis
Journal:  Bioengineering (Basel)       Date:  2021-11-25
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.