Machine learning and radiology
S Wang, RM Summers - Medical image analysis, 2012 - Elsevier
In this paper, we give a short introduction to machine learning and survey its applications in
radiology. We focused on six categories of applications in radiology: medical image …
radiology. We focused on six categories of applications in radiology: medical image …
Breast imaging reporting and data system (BI-RADS)
L Liberman, JH Menell - Radiologic Clinics, 2002 - radiologic.theclinics.com
The Breast Imaging Reporting and Data System (BI-RADS) lexicon was developed by the
American College of Radiology (ACR) to standardize mammographic reporting [1–3]. The …
American College of Radiology (ACR) to standardize mammographic reporting [1–3]. The …
The ACR BI-RADS® experience: learning from history
ES Burnside, EA Sickles, LW Bassett, DL Rubin… - Journal of the American …, 2009 - Elsevier
The Breast Imaging Reporting and Data System®(BI-RADS®) initiative, instituted by the
ACR, was begun in the late 1980s to address a lack of standardization and uniformity in …
ACR, was begun in the late 1980s to address a lack of standardization and uniformity in …
Anniversary Paper: History and status of CAD and quantitative image analysis: The role of Medical Physics and AAPM
The roles of physicists in medical imaging have expanded over the years, from the study of
imaging systems (sources and detectors) and dose to the assessment of image quality and …
imaging systems (sources and detectors) and dose to the assessment of image quality and …
Computer-aided diagnosis and artificial intelligence in clinical imaging
J Shiraishi, Q Li, D Appelbaum, K Doi - Seminars in nuclear medicine, 2011 - Elsevier
Computer-aided diagnosis (CAD) is rapidly entering the radiology mainstream. It has
already become a part of the routine clinical work for the detection of breast cancer with …
already become a part of the routine clinical work for the detection of breast cancer with …
Breast Imaging Reporting and Data System: inter-and intraobserver variability in feature analysis and final assessment
WA Berg, C Campassi… - American Journal of …, 2000 - Am Roentgen Ray Soc
OBJECTIVE. We sought to evaluate the use of the Breast Imaging Reporting and Data
System (BI-RADS) standardized mammography lexicon among and within observers and to …
System (BI-RADS) standardized mammography lexicon among and within observers and to …
BI-RADS for sonography: positive and negative predictive values of sonographic features
AS Hong, EL Rosen, MS Soo… - American Journal of …, 2005 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this study was to assess the positive predictive value (PPV) and
negative predictive value (NPV) of features described in the new sonographic BI-RADS …
negative predictive value (NPV) of features described in the new sonographic BI-RADS …
The prediction of breast cancer biopsy outcomes using two CAD approaches that both emphasize an intelligible decision process
M Elter, R Schulz‐Wendtland, T Wittenberg - Medical physics, 2007 - Wiley Online Library
Mammography is the most effective method for breast cancer screening available today.
However, the low positive predictive value of breast biopsy resulting from mammogram …
However, the low positive predictive value of breast biopsy resulting from mammogram …
Artificial intelligence in breast imaging: potentials and limitations
EB Mendelson - American Journal of Roentgenology, 2019 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this article is to discuss potential applications of artificial
intelligence (AI) in breast imaging and limitations that may slow or prevent its adoption …
intelligence (AI) in breast imaging and limitations that may slow or prevent its adoption …
Applications of artificial neural networks in medical science
Computer technology has been advanced tremendously and the interest has been
increased for the potential use of 'Artificial Intelligence (AI)'in medicine and biological …
increased for the potential use of 'Artificial Intelligence (AI)'in medicine and biological …