A new classifier for breast cancer detection based on Naïve Bayesian

M Karabatak - Measurement, 2015 - Elsevier
Breast cancer is known as the most common invasive cancer type among women and
automatic breast cancer detection systems are in demand. Thus, various machine learning …

Mammographic characteristics of 115 missed cancers later detected with screening mammography and the potential utility of computer-aided detection

RL Birdwell, DM Ikeda, KF O'Shaughnessy, EA Sickles - Radiology, 2001 - pubs.rsna.org
PURPOSE: To retrospectively determine the mammographic characteristics of cancers
missed at screening mammography and assess the ability of computer-aided detection …

MR imaging of the breast with rotating delivery of excitation off resonance: clinical experience with pathologic correlation.

SE Harms, DP Flamig, KL Hesley, MD Meiches… - Radiology, 1993 - pubs.rsna.org
An investigative study was undertaken to determine the potential for a new magnetic
resonance (MR) imaging technique, RODEO (rotating delivery of excitation off resonance) …

A comparison of reconstruction algorithms for breast tomosynthesis

T Wu, RH Moore, EA Rafferty, DB Kopans - Medical physics, 2004 - Wiley Online Library
Three algorithms for breast tomosynthesis reconstruction were compared in this paper,
including (1) a back‐projection (BP) algorithm (equivalent to the shift‐and‐add algorithm),(2) …

[PDF][PDF] Computer-aided detection and diagnosis in mammography

MP Sampat, MK Markey, AC Bovik - Handbook of image and …, 2005 - mammoimage.org
The American Cancer Society estimates that 215,990 women will be diagnosed with breast
cancer in the United States in 2004 [1]. Another 40,110 women will die of the disease. In the …

Initial clinical experience with microwave breast imaging in women with normal mammography

PM Meaney, MW Fanning, T Raynolds, CJ Fox… - Academic radiology, 2007 - Elsevier
RATIONALE AND OBJECTIVES: We have developed a microwave tomography system for
experimental breast imaging. MATERIALS AND METHODS: In this article, we illustrate a …

Statistical textural features for detection of microcalcifications in digitized mammograms

JK Kim, HW Park - IEEE transactions on medical imaging, 1999 - ieeexplore.ieee.org
Clustered microcalcifications on X-ray mammograms are an important sign for early
detection of breast cancer. Texture-analysis methods can be applied to detect clustered …

Menstrual cycle and age: influence on parenchymal contrast medium enhancement in MR imaging of the breast.

M Müller-Schimpfle, K Ohmenhaüser, P Stoll, K Dietz… - Radiology, 1997 - pubs.rsna.org
PURPOSE: To evaluate the influence of menstrual cycle and age on parenchymal contrast
medium enhancement in magnetic resonance (MR) imaging of the breast. MATERIALS AND …

A novel breast tissue density classification methodology

A Oliver, J Freixenet, R Marti, J Pont… - Ieee transactions on …, 2008 - ieeexplore.ieee.org
It has been shown that the accuracy of mammographic abnormality detection methods is
strongly dependent on the breast tissue characteristics, where a dense breast drastically …

Computer-aided detection (CAD) in screening mammography: sensitivity of commercial CAD systems for detecting architectural distortion

JA Baker, EL Rosen, JY Lo… - American Journal of …, 2003 - Am Roentgen Ray Soc
OBJECTIVE. Computer-aided detection (CAD) algorithms have successfully revealed breast
masses and microcalcifications on screening mammography. The purpose of our study was …