Methods Used in Computer‐Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review

SZ Ramadan - Journal of healthcare engineering, 2020 - Wiley Online Library
According to the American Cancer Society's forecasts for 2019, there will be about 268,600
new cases in the United States with invasive breast cancer in women, about 62,930 new …

Machine learning with a reject option: A survey

K Hendrickx, L Perini, D Van der Plas, W Meert… - Machine Learning, 2024 - Springer
Abstract Machine learning models always make a prediction, even when it is likely to be
inaccurate. This behavior should be avoided in many decision support applications, where …

Multiple classifier decision combination strategies for character recognition: A review

AFR Rahman, MC Fairhurst - Document Analysis and Recognition, 2003 - Springer
Two research strands, each identifying an area of markedly increasing importance in the
current development of pattern analysis technology, underlie the review covered by this …

Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end-uses

L Farinaccio, R Zmeureanu - Energy and buildings, 1999 - Elsevier
The method presented in this paper shows a promising potential for application in
residential buildings. The results prove that the whole-house electricity consumption can be …

Direct nondestructive imaging of magnetization in a spin-1 Bose-Einstein gas

JM Higbie, LE Sadler, S Inouye, AP Chikkatur… - Physical Review Letters, 2005 - APS
Polarization-dependent phase-contrast imaging is used to resolve the spatial magnetization
profile of an optically trapped ultracold gas. This probe is applied to Larmor precession of …

Classifier combinations: implementations and theoretical issues

L Lam - International workshop on multiple classifier systems, 2000 - Springer
Much work has been done in the past decade to combine decisions of multiple classifiers in
order to obtain improved recognition results. Many methodologies have been designed and …

Compound classifier for pattern recognition applications

SW Driggs, IIED Reitz, DA Tillotson - US Patent 7,031,530, 2006 - Google Patents
The invention relates to a pattern recognition device or classifier. Image processing systems
often contain pattern recognition devices (classifiers). 2. Description of the Prior Art Pattern …

Application of Dempster–Shafer theory in condition monitoring applications: a case study

CR Parikh, MJ Pont, NB Jones - Pattern Recognition Letters, 2001 - Elsevier
This paper is concerned with the use of Dempster–Shafer theory infusion'classifiers. We
argue that the use of predictive accuracy for basic probability assignments can improve the …

Experimental evaluation of expert fusion strategies

FM Alkoot, J Kittler - Pattern recognition letters, 1999 - Elsevier
We investigate the classifier combination models presented in (Kittler et al., 1998; Kittler,
1998) and validate them experimentally. We emulate the behaviour of individual experts by …

Multiple classifier combination methodologies for different output levels

CY Suen, L Lam - International workshop on multiple classifier systems, 2000 - Springer
In the past decade, many researchers have employed various methodologies to combine
decisions of multiple classifiers in order to order to improve recognition results. In this article …