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Analysis of institutional authors

Andina, DiegoAuthor

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June 9, 2019
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Improvement for detection of microcalcifications through clustering algorithms and artificial neural networks

Publicated to: Eurasip Journal on Advances in Signal Processing. 2011 (91): 91- - 2011-01-01 2011(91), DOI: 10.1186/1687-6180-2011-91

Authors:

Quintanilla-Domínguez, J; Ojeda-Magaña, B; Marcano-Cedeño, A; Cortina-Januchs, MG; Vega-Corona, A; Andina, D
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Affiliations

Tech Univ Madrid, Madrid 28040, Spain - Author
Univ Guadalajara, Zapopan 45101, Jalisco, Mexico - Author
Univ Guanajuato, Guanajuato 36885, Mexico - Author
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Abstract

A new method for detecting microcalcifications in regions of interest (ROIs) extracted from digitized mammograms is proposed. The top-hat transform is a technique based on mathematical morphology operations and, in this paper, is used to perform contrast enhancement of the mi-crocalcifications. To improve microcalcification detection, a novel image sub-segmentation approach based on the possibilistic fuzzy c-means algorithm is used. From the original ROIs, window-based features, such as the mean and standard deviation, were extracted; these features were used as an input vector in a classifier. The classifier is based on an artificial neural network to identify patterns belonging to microcalcifications and healthy tissue. Our results show that the proposed method is a good alternative for automatically detecting microcalcifications, because this stage is an important part of early breast cancer detection.
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Keywords

Artificial neural networksClassificationComputer-aided detectionDetection of microcalcificationsDetection systemDigital mammogramsPossibilistic fuzzy c-means clustering algorithmSegmentationTop-hat transform

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Eurasip Journal on Advances in Signal Processing due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2011, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Electrical and Electronic Engineering. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Engineering, Electrical & Electronic.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-25:

  • Google Scholar: 16
  • WoS: 9
  • Scopus: 13
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 21 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/12258/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 595
  • Downloads: 324
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Mexico.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Quintanilla-Dominguez, Joel) and Last Author (ANDINA DE LA FUENTE, DIEGO).

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