Morphological analysis of mammary biopsy images

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

doi:10.1109/MELCON.1996.551392

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 Book › Conference contribution › peer-review

8 Citations (Scopus)

30 Downloads (Pure)

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 language	English
Title of host publication	Industrial Applications in Power Systems, Computer Science and Telecommunications
Editors	M. De Sario, B. Maione, P. Pugliese, M. Savino
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1067-1070
Number of pages	4
Volume	2
ISBN (Print)	9780780331095
DOIs	https://doi.org/10.1109/MELCON.1996.551392
Publication status	Published - 1996
Externally published	Yes
Event	Proceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3) - Bari, Italy Duration: 13 May 1996 → 16 May 1996

Conference

Conference	Proceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3)
City	Bari, Italy
Period	13/05/96 → 16/05/96

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/MELCON.1996.551392

ArticleFinal published version, 514 KB

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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, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/MELCON.1996.551392

@inproceedings{0ec4e3f0931f4779860de7e8d1aad1fd,

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",

author = "{Martinez Marroquin}, Elisa and Eugenia Santamaria and Xavier Jove and Socoro, {J. C.}",

year = "1996",

doi = "10.1109/MELCON.1996.551392",

language = "English",

isbn = "9780780331095",

volume = "2",

pages = "1067--1070",

editor = "{De Sario}, M. and B. Maione and P. Pugliese and M. Savino",

booktitle = "Industrial Applications in Power Systems, Computer Science and Telecommunications",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "Proceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3) ; Conference date: 13-05-1996 Through 16-05-1996",

}

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

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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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U2 - 10.1109/MELCON.1996.551392

DO - 10.1109/MELCON.1996.551392

M3 - Conference contribution

AN - SCOPUS:0030358350

SN - 9780780331095

VL - 2

SP - 1067

EP - 1070

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

A2 - De Sario, M.

A2 - Maione, B.

A2 - Pugliese, P.

A2 - Savino, M.

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - Proceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3)

Y2 - 13 May 1996 through 16 May 1996

ER -

Morphological analysis of mammary biopsy images

Abstract

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