Literature DB >> 24997691

Lung cancer imaging.

Shekhar S Patil1, Myrna C B Godoy1, James I L Sorensen1, Edith M Marom2.   

Abstract

Lung cancer remains the leading cause of cancer-related deaths in the US. Imaging plays an important role in the diagnosis, staging, and follow-up evaluation of patients with lung cancer. With recent advances in technology, it is important to update and standardize the radiological practices in lung cancer evaluation. In this article, the authors review the main clinical applications of different imaging modalities and the most common radiological presentations of lung cancer.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24997691     DOI: 10.1053/j.semdp.2014.06.007

Source DB:  PubMed          Journal:  Semin Diagn Pathol        ISSN: 0740-2570            Impact factor:   3.464


  3 in total

1.  Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM.

Authors:  Antonio Oseas de Carvalho Filho; Aristófanes Corrêa Silva; Anselmo Cardoso de Paiva; Rodolfo Acatauassú Nunes; Marcelo Gattass
Journal:  J Digit Imaging       Date:  2017-12       Impact factor: 4.056

2.  3D shape analysis to reduce false positives for lung nodule detection systems.

Authors:  Antonio Oseas de Carvalho Filho; Aristófanes Corrêa Silva; Anselmo Cardoso de Paiva; Rodolfo Acatauassú Nunes; Marcelo Gattass
Journal:  Med Biol Eng Comput       Date:  2016-10-17       Impact factor: 2.602

3.  Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.

Authors:  Antonio Oseas de Carvalho Filho; Aristófanes Corrêa Silva; Anselmo Cardoso de Paiva; Rodolfo Acatauassú Nunes; Marcelo Gattass
Journal:  Med Biol Eng Comput       Date:  2016-10-03       Impact factor: 2.602

  3 in total

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