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

3 Citations (Scopus)

201 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

UN SDGs

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

SDG 3 Good Health and Well-being

Access to Document

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

Cite this

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)).

@inbook{cfea8b73e8704c35bc8da6c0ec0da3b3,

title = "Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists",

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",

year = "2010",

doi = "10.1007/978-3-642-13923-9\_39",

language = "English",

isbn = "3642139221",

volume = "6165 LNCS",

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

pages = "363--372",

booktitle = "Medical Biometrics - Second International Conference, ICMB 2010, Proceedings",

note = "2nd International Conference on Medical Biometrics, ICMB 2010 ; Conference date: 28-06-2010 Through 30-06-2010",

}

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

TY - CHAP

T1 - Presenting a simplified assistant tool for breast cancer diagnosis in mammography to radiologists

AU - Zhang, Ping

AU - Doust, Jenny

AU - Kumar, Kuldeep

PY - 2010

Y1 - 2010

N2 - 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.

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.

UR - https://www.scopus.com/pages/publications/77954646457

U2 - 10.1007/978-3-642-13923-9_39

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

M3 - Chapter

AN - SCOPUS:77954646457

SN - 3642139221

SN - 9783642139222

VL - 6165 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 363

EP - 372

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

T2 - 2nd International Conference on Medical Biometrics, ICMB 2010

Y2 - 28 June 2010 through 30 June 2010

ER -

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

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this