Improvement of Radiologists' Characterization of Mammographic Masses by Using Computer-aided Diagnosis: An ROC Study-Reference-Cited by-同舟云学术

Improvement of Radiologists' Characterization of Mammographic Masses by Using Computer-aided Diagnosis: An ROC Study

Published:1999-09 Issue:3 Volume:212 Page:817-827
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Chan Heang-Ping,Sahiner Berkman,Helvie Mark A.,Petrick Nicholas,Roubidoux Marilyn A.,Wilson Todd E.,Adler Dorit D.,Paramagul Chintana,Newman Joel S.,Sanjay-Gopal Sethumadavan

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiology.212.3.r99au47817

Reference31 articles.

1. Cancer statistics, 1998

2. Adler DD, Helvie MA.Mammographic biopsy recommendations.Curr Opin Radiol1992; 4:123-129.

3. Kopans DB.The positive predictive value of mammography.AJR1991; 158:521-526.

4. Digital mammography and related technologies: a perspective from the National Cancer Institute.

5. Benefit of independent double reading in a population-based mammography screening program.

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