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 proceedingConference contributionpeer-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 languageEnglish
Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering
Subtitle of host publicationDiagnostic Imaging
Pages654-657
Number of pages4
Edition2
DOIs
StatePublished - 2009
EventWorld Congress on Medical Physics and Biomedical Engineering: Diagnostic Imaging - Munich, Germany
Duration: Sep 7 2009Sep 12 2009

Publication series

NameIFMBE Proceedings
Number2
Volume25
ISSN (Print)1680-0737

Conference

ConferenceWorld Congress on Medical Physics and Biomedical Engineering: Diagnostic Imaging
Country/TerritoryGermany
CityMunich
Period9/7/099/12/09

Keywords

  • Automatic histologic grading
  • Breast cancer
  • Lobular carcinoma in situ

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

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