Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review

EH Houssein, MM Emam, AA Ali… - Expert Systems with …, 2021 - Elsevier
Breast cancer is the second leading cause of death for women, so accurate early detection
can help decrease breast cancer mortality rates. Computer-aided detection allows …

Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review

NIR Yassin, S Omran, EMF El Houby… - Computer methods and …, 2018 - Elsevier
Background and objective The high incidence of breast cancer in women has increased
significantly in the recent years. Physician experience of diagnosing and detecting breast …

Computer-aided detection of breast cancer on the Wisconsin dataset: An artificial neural networks approach

MH Alshayeji, H Ellethy, R Gupta - Biomedical signal processing and …, 2022 - Elsevier
The early detection of breast cancer (BC) has a significant impact on reducing the disease's
mortality rate. As an effective cost-and time-saving tool, computer-aided diagnosis (CAD) …

Detection of breast cancer via deep convolution neural networks using MRI images

AH Yurttakal, H Erbay, T İkizceli… - Multimedia Tools and …, 2020 - Springer
Breast cancer is the type of cancer that develops from cells in the breast tissue. It is the
leading cancer in women. Early detection of the breast cancer tumor is crucial in the …

A new data augmentation method to use in machine learning algorithms using statistical measurements

E Avuçlu - Measurement, 2021 - Elsevier
Cancer disease is among the leading causes of death in the world today. It has been
scientifically proven that if the disease is detected in the first stages, the success rate in …

Application of texture analysis to study small vessel disease and blood–brain barrier integrity

MC Valdés Hernández, V González-Castro… - Frontiers in …, 2017 - frontiersin.org
Objectives We evaluate the alternative use of texture analysis for evaluating the role of blood–
brain barrier (BBB) in small vessel disease (SVD). Methods We used brain magnetic …

A Gradient‐Based Approach for Breast DCE‐MRI Analysis

L Losurdo, TMA Basile, A Fanizzi… - BioMed Research …, 2018 - Wiley Online Library
Breast cancer is the main cause of female malignancy worldwide. Effective early detection
by imaging studies remains critical to decrease mortality rates, particularly in women at high …

Fractal and multifractal analysis of atherosclerotic plaque in ultrasound images of the carotid artery

B Smitha - Chaos, Solitons & Fractals, 2019 - Elsevier
Stroke is the cause of death following ischemic heart disease in 87% of cases. The chance
of stroke rises with the severity of carotid stenosis and the thickening of the carotid artery due …

Investigating long-range dependence in American treasury bills variations and volatilities during stable and unstable periods

S Lahmiri - Fractals, 2016 - World Scientific
Detrended fluctuation analysis (DFA) is used to examine long-range dependence in
variations and volatilities of American treasury bills (TB) during periods of low and high …

[PDF][PDF] Identification of emphysema patterns in high resolution computed tomography images

MA Ibrahim, OA Ojo… - Journal of Biomedical …, 2018 - researchgate.net
Fractal dimension (FD) is a very useful metric for the analysis of image structures with
statistically self-similar properties. It has applications in areas such as texture segmentation …