ML-DSTnet: A Novel Hybrid Model for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning and Dempster–Shafer Theory

Computational Technique Based on Machine Learning and Image Processing for Medical Image Analysis of Breast Cancer Diagnosis

(2022) V. Durga Prasad Jasti et al.   Security and Communication Networks

Boosting Breast Cancer Detection Using Convolutional Neural Network

(2021) Saad Awadh Alanazi et al.   Journal of Healthcare Engineering

Deep Learning Based Capsule Neural Network Model for Breast Cancer Diagnosis Using Mammogram Images

(2021) T. Kavitha et al.   Interdisciplinary Sciences-Computational Life Sciences

Image Quality Assessment to Emulate Experts’ Perception in Lumbar MRI Using Machine Learning

(2021) Steren Chabert et al.   Applied Sciences-Basel

An Automated In-Depth Feature Learning Algorithm for Breast Abnormality Prognosis and Robust Characterization from Mammography Images Using Deep Transfer Learning

(2021) Tariq Mahmood et al.   Biology-Basel

Generalization of Dempster–Shafer theory: A complex mass function

(2020) Fuyuan Xiao   APPLIED INTELLIGENCE

Generalized belief function in complex evidence theory

(2020) Fuyuan Xiao   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Convolutional neural network-based models for diagnosis of breast cancer

(2020) Mehedi Masud et al.   NEURAL COMPUTING & APPLICATIONS

EEG-Based Pathology Detection for Home Health Monitoring

(2020) Ghulam Muhammad et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Breast cancer detection using deep convolutional neural networks and support vector machines

(2019) Dina A. Ragab et al.   PeerJ

A Novel Deep Learning based Framework for the Detection and Classification of Breast Cancer Using Transfer Learning

(2019) SanaUllah Khan et al.   PATTERN RECOGNITION LETTERS

DIAGNOSIS OF BREAST CANCER USING MULTISCALE CONVOLUTIONAL NEURAL NETWORK

(2019) Homayoon Yektaei et al.   Biomedical Engineering - Applications, Basis and Communications

Comparison of Evidential Reasoning Algorithm with Linear Combination in Decision Making

(2019) Chao Fu et al.   International Journal of Fuzzy Systems

Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders

(2019) Mesut Toğaçar et al.   MEDICAL HYPOTHESES

Breast cancer diagnosis using thermography and convolutional neural networks

(2019) Sami Ekici et al.   MEDICAL HYPOTHESES

The emerging world of breast cancer immunotherapy

(2018) Mark R. Nathan et al.   BREAST

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

(2018) Nisreen I.R. Yassin et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Evidence reasoning for temporal uncertain information based on relative reliability evaluation

(2018) Cheng-li Fan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Combination of Classifiers With Optimal Weight Based on Evidential Reasoning

(2018) Zhun-Ga Liu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Evidential reasoning rule for MADM with both weights and reliabilities in group decision making

(2018) Mi Zhou et al.   KNOWLEDGE-BASED SYSTEMS

Adaptive decision-making of breast cancer mammography screening: A heuristic-based regression model

(2018) Fan Wang et al.   OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

Clinical performance of digital mammography systems in a breast screening programme – An update

(2018) Elizabeth Keavey et al.   Physica Medica-European Journal of Medical Physics

Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems

(2018) L. Barinov et al.   JOURNAL OF DIGITAL IMAGING

Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 32 Cancer Groups, 1990 to 2015

(2017) et al.   JAMA Oncology

A Hybrid Computer-aided-diagnosis System for Prediction of Breast Cancer Recurrence (HPBCR) Using Optimized Ensemble Learning

(2017) Mohammad R. Mohebian et al.   Computational and Structural Biotechnology Journal

Effect of background parenchymal enhancement on breast cancer detection with magnetic resonance imaging

(2016) M. Telegrafo et al.   Diagnostic and Interventional Imaging

Benign and malignant breast tumors classification based on region growing and CNN segmentation

(2015) Rahimeh Rouhi et al.   EXPERT SYSTEMS WITH APPLICATIONS

A new classifier for breast cancer detection based on Naïve Bayesian

(2015) Murat Karabatak   MEASUREMENT

The descriptive epidemiology of female breast cancer: An international comparison of screening, incidence, survival and mortality

(2012) Danny R. Youlden et al.   Cancer Epidemiology

Preliminary space mission design under uncertainty

(2009) Nicolas Croisard et al.   ACTA ASTRONAUTICA

Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances

(2009) Jinshan Tang et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE