Automatic histologic grading for lobular carcinoma in situ

S. J. Kim; H. K. Jeong; H. J. Choi; D. Kim

doi:10.1007/978-3-642-03879-2_184

Automatic histologic grading for lobular carcinoma in situ

S. J. Kim, H. K. Jeong, H. J. Choi, D. Kim

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

2 Scopus citations

Abstract

Lobular carcinoma in situ (LCIS) causes pathological confusion with other non-invasive histological diagnoses. The study used computational histology to segment relevant objects from the scanned images. Within the collected images from 24 patients, the study shows the accuracy of prediction for LCIS grading. Overall predication accuracy of nuclear grading was 50.56% (p<.001).

Original language	English
Title of host publication	World Congress on Medical Physics and Biomedical Engineering
Subtitle of host publication	Diagnostic Imaging
Pages	654-657
Number of pages	4
Edition	2
DOIs	https://doi.org/10.1007/978-3-642-03879-2_184
State	Published - 2009
Event	World Congress on Medical Physics and Biomedical Engineering: Diagnostic Imaging - Munich, Germany Duration: Sep 7 2009 → Sep 12 2009

Publication series

Name	IFMBE Proceedings
Number	2
Volume	25
ISSN (Print)	1680-0737

Conference

Conference	World Congress on Medical Physics and Biomedical Engineering: Diagnostic Imaging
Country/Territory	Germany
City	Munich
Period	9/7/09 → 9/12/09

Keywords

Automatic histologic grading
Breast cancer
Lobular carcinoma in situ

ASJC Scopus subject areas

Bioengineering
Biomedical Engineering

UN SDGs

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

Access to Document

10.1007/978-3-642-03879-2_184

Cite this

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title = "Automatic histologic grading for lobular carcinoma in situ",

abstract = "Lobular carcinoma in situ (LCIS) causes pathological confusion with other non-invasive histological diagnoses. The study used computational histology to segment relevant objects from the scanned images. Within the collected images from 24 patients, the study shows the accuracy of prediction for LCIS grading. Overall predication accuracy of nuclear grading was 50.56% (p<.001).",

keywords = "Automatic histologic grading, Breast cancer, Lobular carcinoma in situ",

author = "Kim, {S. J.} and Jeong, {H. K.} and Choi, {H. J.} and D. Kim",

year = "2009",

doi = "10.1007/978-3-642-03879-2_184",

language = "English",

isbn = "9783642038785",

series = "IFMBE Proceedings",

number = "2",

pages = "654--657",

booktitle = "World Congress on Medical Physics and Biomedical Engineering",

edition = "2",

note = "null ; Conference date: 07-09-2009 Through 12-09-2009",

}

Kim, SJ, Jeong, HK, Choi, HJ & Kim, D 2009, Automatic histologic grading for lobular carcinoma in situ. in World Congress on Medical Physics and Biomedical Engineering: Diagnostic Imaging. 2 edn, IFMBE Proceedings, no. 2, vol. 25, pp. 654-657, World Congress on Medical Physics and Biomedical Engineering: Diagnostic Imaging, Munich, Germany, 9/7/09. https://doi.org/10.1007/978-3-642-03879-2_184

TY - GEN

T1 - Automatic histologic grading for lobular carcinoma in situ

AU - Kim, S. J.

AU - Jeong, H. K.

AU - Choi, H. J.

AU - Kim, D.

PY - 2009

Y1 - 2009

N2 - Lobular carcinoma in situ (LCIS) causes pathological confusion with other non-invasive histological diagnoses. The study used computational histology to segment relevant objects from the scanned images. Within the collected images from 24 patients, the study shows the accuracy of prediction for LCIS grading. Overall predication accuracy of nuclear grading was 50.56% (p<.001).

AB - Lobular carcinoma in situ (LCIS) causes pathological confusion with other non-invasive histological diagnoses. The study used computational histology to segment relevant objects from the scanned images. Within the collected images from 24 patients, the study shows the accuracy of prediction for LCIS grading. Overall predication accuracy of nuclear grading was 50.56% (p<.001).

KW - Automatic histologic grading

KW - Breast cancer

KW - Lobular carcinoma in situ

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UR - http://www.scopus.com/inward/citedby.url?scp=77950871740&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-03879-2_184

DO - 10.1007/978-3-642-03879-2_184

M3 - Conference contribution

AN - SCOPUS:77950871740

SN - 9783642038785

T3 - IFMBE Proceedings

SP - 654

EP - 657

BT - World Congress on Medical Physics and Biomedical Engineering

Y2 - 7 September 2009 through 12 September 2009

ER -

Automatic histologic grading for lobular carcinoma in situ

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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