Morphological analysis of mammary biopsy images

Elisa Martinez Marroquin, Eugenia Santamaria, Xavier Jove, J. C. Socoro

Research output: A Conference proceeding or a Chapter in BookConference contribution

8 Citations (Scopus)

Abstract

In this paper we present an automatic system to analyse cells' nucleus in a given biopsy of mammary tissue which is cancerous. Identification and characterization of cells' nucleus provides enough information to diagnose a high or low grade cancer. This is a high interest differentiation for the pathologist to apply the correct therapy. Performing these measures by human observation is a hard, imprecise and subjective task. The algorithm we present processes the image in order to identify cells' nucleus over the rest of the tissue. Images are enhanced and segmented using morphological transformations. An ultimate erosion is used in two steps to separate cells' nucleus in contact. It is based in a combination of symmetrical ultimate erosion with directional ultimate erosion.

Original languageEnglish
Title of host publicationIndustrial Applications in Power Systems, Computer Science and Telecommunications
EditorsM. De Sario, B. Maione, P. Pugliese, M. Savino
PublisherIEEE
Pages1067-1070
Number of pages4
Volume2
ISBN (Print)9780780331095
DOIs
Publication statusPublished - 1996
Externally publishedYes
EventProceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3) - Bari, Italy
Duration: 13 May 199616 May 1996

Conference

ConferenceProceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3)
CityBari, Italy
Period13/05/9616/05/96

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Biopsy
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Cite this

Martinez Marroquin, E., Santamaria, E., Jove, X., & Socoro, J. C. (1996). Morphological analysis of mammary biopsy images. In M. De Sario, B. Maione, P. Pugliese, & M. Savino (Eds.), Industrial Applications in Power Systems, Computer Science and Telecommunications (Vol. 2, pp. 1067-1070). IEEE. https://doi.org/10.1109/MELCON.1996.551392
Martinez Marroquin, Elisa ; Santamaria, Eugenia ; Jove, Xavier ; Socoro, J. C. / Morphological analysis of mammary biopsy images. Industrial Applications in Power Systems, Computer Science and Telecommunications. editor / M. De Sario ; B. Maione ; P. Pugliese ; M. Savino. Vol. 2 IEEE, 1996. pp. 1067-1070
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title = "Morphological analysis of mammary biopsy images",
abstract = "In this paper we present an automatic system to analyse cells' nucleus in a given biopsy of mammary tissue which is cancerous. Identification and characterization of cells' nucleus provides enough information to diagnose a high or low grade cancer. This is a high interest differentiation for the pathologist to apply the correct therapy. Performing these measures by human observation is a hard, imprecise and subjective task. The algorithm we present processes the image in order to identify cells' nucleus over the rest of the tissue. Images are enhanced and segmented using morphological transformations. An ultimate erosion is used in two steps to separate cells' nucleus in contact. It is based in a combination of symmetrical ultimate erosion with directional ultimate erosion.",
keywords = "Biopsy images, Morphological analysis",
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Martinez Marroquin, E, Santamaria, E, Jove, X & Socoro, JC 1996, Morphological analysis of mammary biopsy images. in M De Sario, B Maione, P Pugliese & M Savino (eds), Industrial Applications in Power Systems, Computer Science and Telecommunications. vol. 2, IEEE, pp. 1067-1070, Proceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3), Bari, Italy, 13/05/96. https://doi.org/10.1109/MELCON.1996.551392

Morphological analysis of mammary biopsy images. / Martinez Marroquin, Elisa; Santamaria, Eugenia; Jove, Xavier; Socoro, J. C.

Industrial Applications in Power Systems, Computer Science and Telecommunications. ed. / M. De Sario; B. Maione; P. Pugliese; M. Savino. Vol. 2 IEEE, 1996. p. 1067-1070.

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

T1 - Morphological analysis of mammary biopsy images

AU - Martinez Marroquin, Elisa

AU - Santamaria, Eugenia

AU - Jove, Xavier

AU - Socoro, J. C.

PY - 1996

Y1 - 1996

N2 - In this paper we present an automatic system to analyse cells' nucleus in a given biopsy of mammary tissue which is cancerous. Identification and characterization of cells' nucleus provides enough information to diagnose a high or low grade cancer. This is a high interest differentiation for the pathologist to apply the correct therapy. Performing these measures by human observation is a hard, imprecise and subjective task. The algorithm we present processes the image in order to identify cells' nucleus over the rest of the tissue. Images are enhanced and segmented using morphological transformations. An ultimate erosion is used in two steps to separate cells' nucleus in contact. It is based in a combination of symmetrical ultimate erosion with directional ultimate erosion.

AB - In this paper we present an automatic system to analyse cells' nucleus in a given biopsy of mammary tissue which is cancerous. Identification and characterization of cells' nucleus provides enough information to diagnose a high or low grade cancer. This is a high interest differentiation for the pathologist to apply the correct therapy. Performing these measures by human observation is a hard, imprecise and subjective task. The algorithm we present processes the image in order to identify cells' nucleus over the rest of the tissue. Images are enhanced and segmented using morphological transformations. An ultimate erosion is used in two steps to separate cells' nucleus in contact. It is based in a combination of symmetrical ultimate erosion with directional ultimate erosion.

KW - Biopsy images

KW - Morphological analysis

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DO - 10.1109/MELCON.1996.551392

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SN - 9780780331095

VL - 2

SP - 1067

EP - 1070

BT - Industrial Applications in Power Systems, Computer Science and Telecommunications

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A2 - Maione, B.

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PB - IEEE

ER -

Martinez Marroquin E, Santamaria E, Jove X, Socoro JC. Morphological analysis of mammary biopsy images. In De Sario M, Maione B, Pugliese P, Savino M, editors, Industrial Applications in Power Systems, Computer Science and Telecommunications. Vol. 2. IEEE. 1996. p. 1067-1070 https://doi.org/10.1109/MELCON.1996.551392