Pattern recognition approaches for breast cancer DCE-MRI classification: a systematic review

R Fusco, M Sansone, S Filice, G Carone… - Journal of medical and …, 2016 - Springer
We performed a systematic review of several pattern analysis approaches for classifying
breast lesions using dynamic, morphological, and textural features in dynamic contrast …

Accuracy of magnetic resonance in suspicious breast lesions: a systematic quantitative review and meta-analysis

LR Medeiros, CS Duarte, DD Rosa… - Breast cancer research …, 2011 - Springer
Dynamic contrast-enhanced breast magnetic resonance (MR) is a promising emerging
technique for evaluating breast lesions. A quantitative systematic review was performed to …

Meta-Analysis of MR Imaging in the Diagnosis of Breast Lesions1

NHGM Peters, IHM Borel Rinkes, NPA Zuithoff… - Radiology, 2008 - pubs.rsna.org
Purpose: To determine, in a meta-analysis, the diagnostic performance of contrast material–
enhanced magnetic resonance (MR) imaging in patients with breast lesions. Materials and …

Prediction of breast cancer histological outcome by radiomics and artificial intelligence analysis in contrast-enhanced mammography

A Petrillo, R Fusco, E Di Bernardo, T Petrosino… - Cancers, 2022 - mdpi.com
Simple Summary The assessment of breast lesions through mammographic images is
currently challenging, especially in dense breasts. Contrast-enhanced mammography has …

Probabilistic neural network for breast cancer classification

AT Azar, SA El-Said - Neural Computing and Applications, 2013 - Springer
Among cancers, breast cancer causes second most number of deaths in women. To reduce
the high number of unnecessary breast biopsies, several computer-aided diagnosis systems …

Condition monitoring and classification of rotating machinery using wavelets and hidden Markov models

Q Miao, V Makis - Mechanical systems and signal processing, 2007 - Elsevier
Condition monitoring and classification of machinery state is of great practical significance in
manufacturing industry, because it provides updated information regarding machine status …

Radiomics and artificial intelligence analysis by T2-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging to predict Breast Cancer …

A Petrillo, R Fusco, ML Barretta, V Granata… - La radiologia …, 2023 - Springer
Objective The objective of the study was to evaluate the accuracy of radiomics features
obtained by MR images to predict Breast Cancer Histological Outcome. Methods A total of …

Radiomics and artificial intelligence analysis with textural metrics extracted by contrast-enhanced mammography in the breast lesions classification

R Fusco, A Piccirillo, M Sansone, V Granata… - Diagnostics, 2021 - mdpi.com
The aim of the study was to estimate the diagnostic accuracy of textural features extracted by
dual-energy contrast-enhanced mammography (CEM) images, by carrying out univariate …

Application of classification techniques on development an early-warning system for chronic illnesses

CH Jen, CC Wang, BC Jiang, YH Chu… - Expert Systems with …, 2012 - Elsevier
Chronic disease has gradually become a major fatality cause in Taiwan. Being afflicted with
such illnesses elevate vulnerability to other complications as well. Therefore, this paper …

[图书][B] Biomedical signal analysis: Contemporary methods and applications

FJ Theis, A Meyer-Bäse - 2010 - books.google.com
A comprehensive introduction to innovative methods in the field of biomedical signal
analysis, covering both theory and practice. Biomedical signal analysis has become one of …