Texture analysis of lung nodules in computerized tomography images using functional diversity. (June 2020)
- Record Type:
- Journal Article
- Title:
- Texture analysis of lung nodules in computerized tomography images using functional diversity. (June 2020)
- Main Title:
- Texture analysis of lung nodules in computerized tomography images using functional diversity
- Authors:
- de Oliveira Torres, William
de Carvalho Filho, Antônio Oseas
de Andrade Lira Rabêlo, Ricardo
Veloso e Silva, Romuere Rodrigues - Abstract:
- Highlights: An automatic method for reduction of false positives in pulmonary nodule CT images. A new method for characterization of texture. Proposal of a unique texture descriptor based on functional diversity indexes. Tests were applied to a set of 24148 VOIs. Abstract: Although lung cancer is one of the leading causes of cancer deaths worldwide, the chances of survival are higher in the early stages. One of the best tools for diagnosis is computerized tomography. The main problem with this method is that it depends directly on the specialist who is analyzing the image, since the process involved is tiring, and can lead to error. Computer-aided detection systems have emerged as a way to help these specialists. This work presents the use of descriptors based on functional diversity indexes to reduce the number of false positives. Our method can reach an accuracy of 97.73%, a sensitivity of 98.4%, Kappa index of 0.941, and a number of false positives per scan of up to three. Based on the results obtained, the use of a functional diversity index is shown to be a robust method that can be used in a real CAD system.
- Is Part Of:
- Computers & electrical engineering. Volume 84(2020)
- Journal:
- Computers & electrical engineering
- Issue:
- Volume 84(2020)
- Issue Display:
- Volume 84, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 84
- Issue:
- 2020
- Issue Sort Value:
- 2020-0084-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-06
- Subjects:
- Lung cancer -- Medical image -- Texture analysis -- Functional diversity
Computer engineering -- Periodicals
Electrical engineering -- Periodicals
Electrical engineering -- Data processing -- Periodicals
Ordinateurs -- Conception et construction -- Périodiques
Électrotechnique -- Périodiques
Électrotechnique -- Informatique -- Périodiques
Computer engineering
Electrical engineering
Electrical engineering -- Data processing
Periodicals
Electronic journals
621.302854 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00457906/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compeleceng.2020.106618 ↗
- Languages:
- English
- ISSNs:
- 0045-7906
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.680000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14370.xml