Validation of graph theoretic segmentation of the pectoral muscle

Fei Ma; Mariusz Bajger; John P. Slavotinek; Murk J. Bottema

doi:10.1007/11783237_86

Validation of graph theoretic segmentation of the pectoral muscle

Fei Ma^*, Mariusz Bajger, John P. Slavotinek, Murk J. Bottema

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

3 Citations (Scopus)

Abstract

Two graph theoretic methods are used in conjunction with active contours to segment the pectoral muscle in 82 screening mammograms. To validate the method, the boundaries are also marked by four radiologists with different levels of experience in mammography. The simultaneous truth and performance level estimation (STAPLE) method is used to estimate the true boundary and to estimate the sensitivity and specificity of the segmentation schemes. The performance of one of the two algorithms is found not differ significantly from radiologists.

Original language	English
Title of host publication	Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings
Publisher	Springer Verlag
Pages	642-649
Number of pages	8
ISBN (Print)	3540356258, 9783540356257
DOIs	https://doi.org/10.1007/11783237_86
Publication status	Published - 2006
Externally published	Yes
Event	8th International Workshop on Digital Mammography, IWDM 2006 - Manchester, United Kingdom Duration: 18 Jun 2006 → 21 Jun 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4046 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Workshop on Digital Mammography, IWDM 2006
Country/Territory	United Kingdom
City	Manchester
Period	18/06/06 → 21/06/06

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10.1007/11783237_86

Cite this

Ma, F., Bajger, M., Slavotinek, J. P., & Bottema, M. J. (2006). Validation of graph theoretic segmentation of the pectoral muscle. In Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings (pp. 642-649). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4046 LNCS). Springer Verlag. https://doi.org/10.1007/11783237_86

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title = "Validation of graph theoretic segmentation of the pectoral muscle",

abstract = "Two graph theoretic methods are used in conjunction with active contours to segment the pectoral muscle in 82 screening mammograms. To validate the method, the boundaries are also marked by four radiologists with different levels of experience in mammography. The simultaneous truth and performance level estimation (STAPLE) method is used to estimate the true boundary and to estimate the sensitivity and specificity of the segmentation schemes. The performance of one of the two algorithms is found not differ significantly from radiologists.",

author = "Fei Ma and Mariusz Bajger and Slavotinek, {John P.} and Bottema, {Murk J.}",

year = "2006",

doi = "10.1007/11783237_86",

language = "English",

isbn = "3540356258",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "642--649",

booktitle = "Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings",

note = "8th International Workshop on Digital Mammography, IWDM 2006 ; Conference date: 18-06-2006 Through 21-06-2006",

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Ma, F, Bajger, M, Slavotinek, JP & Bottema, MJ 2006, Validation of graph theoretic segmentation of the pectoral muscle. in Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4046 LNCS, Springer Verlag, pp. 642-649, 8th International Workshop on Digital Mammography, IWDM 2006, Manchester, United Kingdom, 18/06/06. https://doi.org/10.1007/11783237_86

Validation of graph theoretic segmentation of the pectoral muscle. / Ma, Fei; Bajger, Mariusz; Slavotinek, John P. et al.
Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings. Springer Verlag, 2006. p. 642-649 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4046 LNCS).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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AU - Bottema, Murk J.

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AB - Two graph theoretic methods are used in conjunction with active contours to segment the pectoral muscle in 82 screening mammograms. To validate the method, the boundaries are also marked by four radiologists with different levels of experience in mammography. The simultaneous truth and performance level estimation (STAPLE) method is used to estimate the true boundary and to estimate the sensitivity and specificity of the segmentation schemes. The performance of one of the two algorithms is found not differ significantly from radiologists.

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Ma F, Bajger M, Slavotinek JP, Bottema MJ. Validation of graph theoretic segmentation of the pectoral muscle. In Digital Mammography - 8th International Workshop, IWDM 2006, Proceedings. Springer Verlag. 2006. p. 642-649. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11783237_86

Validation of graph theoretic segmentation of the pectoral muscle

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