Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists

Ping Zhang; Jenny Doust; Kuldeep Kumar

doi:10.1007/978-3-642-13923-9_39

Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists

Ping Zhang^*, Jenny Doust, Kuldeep Kumar

^*Corresponding author for this work

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

2 Citations (Scopus)

145 Downloads (Pure)

Abstract

This paper proposes a method to simplify a computational model from logistic regression for clinical use without computer. The model was built using human interpreted featrues including some BI-RADS standardized features for diagnosing the malignant masses. It was compared with the diagnosis using only assessment categorization from BI-RADS. The research aims at assisting radiologists to diagnose the malignancy of breast cancer in a way without using automated computer aided diagnosis system.

Original language	English
Title of host publication	Medical Biometrics - Second International Conference, ICMB 2010, Proceedings
Pages	363-372
Number of pages	10
Volume	6165 LNCS
DOIs	https://doi.org/10.1007/978-3-642-13923-9_39
Publication status	Published - 2010
Event	2nd International Conference on Medical Biometrics, ICMB 2010 - Hong Kong, China Duration: 28 Jun 2010 → 30 Jun 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6165 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	2nd International Conference on Medical Biometrics, ICMB 2010
Country/Territory	China
City	Hong Kong
Period	28/06/10 → 30/06/10

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

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10.1007/978-3-642-13923-9_39

Presenting a Simplified Assistant Tool for Breast Cancer Diagnosis in Mammography to RadiologistsAccepted author manuscript, 87 KBLicence: Other

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Zhang, P., Doust, J., & Kumar, K. (2010). Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists. In Medical Biometrics - Second International Conference, ICMB 2010, Proceedings (Vol. 6165 LNCS, pp. 363-372). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6165 LNCS). https://doi.org/10.1007/978-3-642-13923-9_39

Zhang, Ping ; Doust, Jenny ; Kumar, Kuldeep. / Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists. Medical Biometrics - Second International Conference, ICMB 2010, Proceedings. Vol. 6165 LNCS 2010. pp. 363-372 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper proposes a method to simplify a computational model from logistic regression for clinical use without computer. The model was built using human interpreted featrues including some BI-RADS standardized features for diagnosing the malignant masses. It was compared with the diagnosis using only assessment categorization from BI-RADS. The research aims at assisting radiologists to diagnose the malignancy of breast cancer in a way without using automated computer aided diagnosis system.",

author = "Ping Zhang and Jenny Doust and Kuldeep Kumar",

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Zhang, P, Doust, J & Kumar, K 2010, Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists. in Medical Biometrics - Second International Conference, ICMB 2010, Proceedings. vol. 6165 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6165 LNCS, pp. 363-372, 2nd International Conference on Medical Biometrics, ICMB 2010, Hong Kong, China, 28/06/10. https://doi.org/10.1007/978-3-642-13923-9_39

Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists. / Zhang, Ping; Doust, Jenny; Kumar, Kuldeep.
Medical Biometrics - Second International Conference, ICMB 2010, Proceedings. Vol. 6165 LNCS 2010. p. 363-372 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6165 LNCS).

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

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AB - This paper proposes a method to simplify a computational model from logistic regression for clinical use without computer. The model was built using human interpreted featrues including some BI-RADS standardized features for diagnosing the malignant masses. It was compared with the diagnosis using only assessment categorization from BI-RADS. The research aims at assisting radiologists to diagnose the malignancy of breast cancer in a way without using automated computer aided diagnosis system.

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BT - Medical Biometrics - Second International Conference, ICMB 2010, Proceedings

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Zhang P, Doust J, Kumar K. Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists. In Medical Biometrics - Second International Conference, ICMB 2010, Proceedings. Vol. 6165 LNCS. 2010. p. 363-372. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-13923-9_39

Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists

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