The evaluation of effects on breast cancer diagnoses using the mammographic semantic information

Da Qi; Erika R. E. Denton; Joanna M. E. Leason; Diaa Othman; Reyer Zwiggelaar

doi:10.1007/978-3-540-70538-3_43

The evaluation of effects on breast cancer diagnoses using the mammographic semantic information

Da Qi
, Erika R. E. Denton
, Joanna M. E. Leason
, Diaa Othman
, Reyer Zwiggelaar

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (ISBN)

Abstract

In this paper, we describe the evaluation of the effects of mammographic semantic information in breast cancer diagnoses. A brief description of relations between semantic information and image features are given. We demonstrate the experiments based on mammographic semantic information and the MIAS database. Mammograms were annotated by expert radiologists with semantic information and assigned NHSBSP five-point score. Two classifiers were applied to automatically classify the mammogram into NHSBSP five-point score using the semantic information and radiologists also classified the mammograms by their own annotated semantic information. The analysis of the experimental results provides further understanding when using mammographic semantic information in breast cancer diagnosis. It also indicated a common knowledge base and links between computers and human experts.

Original language	English
Title of host publication	Lecture Notes in Computer Science
Subtitle of host publication	Digital Mammography: 9th International Workshop, IWDM 2008 Tucson, AZ, USA, July 20-23, 2008 Proceedings
Editors	Elizabeth A. Krupinski
Pages	307-314
Number of pages	8
Volume	5116
ISBN (Electronic)	978-3-540-70538-3
DOIs	https://doi.org/10.1007/978-3-540-70538-3_43
Publication status	Published - 2008

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Qi, D., Denton, E. R. E., Leason, J. M. E., Othman, D., & Zwiggelaar, R. (2008). The evaluation of effects on breast cancer diagnoses using the mammographic semantic information. In E. A. Krupinski (Ed.), Lecture Notes in Computer Science: Digital Mammography: 9th International Workshop, IWDM 2008 Tucson, AZ, USA, July 20-23, 2008 Proceedings (Vol. 5116, pp. 307-314) https://doi.org/10.1007/978-3-540-70538-3_43

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title = "The evaluation of effects on breast cancer diagnoses using the mammographic semantic information",

abstract = "In this paper, we describe the evaluation of the effects of mammographic semantic information in breast cancer diagnoses. A brief description of relations between semantic information and image features are given. We demonstrate the experiments based on mammographic semantic information and the MIAS database. Mammograms were annotated by expert radiologists with semantic information and assigned NHSBSP five-point score. Two classifiers were applied to automatically classify the mammogram into NHSBSP five-point score using the semantic information and radiologists also classified the mammograms by their own annotated semantic information. The analysis of the experimental results provides further understanding when using mammographic semantic information in breast cancer diagnosis. It also indicated a common knowledge base and links between computers and human experts.",

author = "Da Qi and Denton, \{Erika R. E.\} and Leason, \{Joanna M. E.\} and Diaa Othman and Reyer Zwiggelaar",

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Qi, D, Denton, ERE, Leason, JME, Othman, D & Zwiggelaar, R 2008, The evaluation of effects on breast cancer diagnoses using the mammographic semantic information. in EA Krupinski (ed.), Lecture Notes in Computer Science: Digital Mammography: 9th International Workshop, IWDM 2008 Tucson, AZ, USA, July 20-23, 2008 Proceedings. vol. 5116, pp. 307-314. https://doi.org/10.1007/978-3-540-70538-3_43

The evaluation of effects on breast cancer diagnoses using the mammographic semantic information. / Qi, Da; Denton, Erika R. E.; Leason, Joanna M. E. et al.
Lecture Notes in Computer Science: Digital Mammography: 9th International Workshop, IWDM 2008 Tucson, AZ, USA, July 20-23, 2008 Proceedings. ed. / Elizabeth A. Krupinski. Vol. 5116 2008. p. 307-314.

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (ISBN)

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AB - In this paper, we describe the evaluation of the effects of mammographic semantic information in breast cancer diagnoses. A brief description of relations between semantic information and image features are given. We demonstrate the experiments based on mammographic semantic information and the MIAS database. Mammograms were annotated by expert radiologists with semantic information and assigned NHSBSP five-point score. Two classifiers were applied to automatically classify the mammogram into NHSBSP five-point score using the semantic information and radiologists also classified the mammograms by their own annotated semantic information. The analysis of the experimental results provides further understanding when using mammographic semantic information in breast cancer diagnosis. It also indicated a common knowledge base and links between computers and human experts.

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Qi D, Denton ERE, Leason JME, Othman D, Zwiggelaar R. The evaluation of effects on breast cancer diagnoses using the mammographic semantic information. In Krupinski EA, editor, Lecture Notes in Computer Science: Digital Mammography: 9th International Workshop, IWDM 2008 Tucson, AZ, USA, July 20-23, 2008 Proceedings. Vol. 5116. 2008. p. 307-314 doi: 10.1007/978-3-540-70538-3_43

The evaluation of effects on breast cancer diagnoses using the mammographic semantic information

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