Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
出版年份 2020 全文链接
标题
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
作者
关键词
Breast cancer classification, Convolutional neural network, Computer-aided diagnosis system (CAD), Deep learning, Histological images, Machine learning, Magnetic resonance imaging (MRI), Medical imaging modalities, Mammogram images, Ultrasound images, Thermography images
出版物
EXPERT SYSTEMS WITH APPLICATIONS
Volume 167, Issue -, Pages 114161
出版商
Elsevier BV
发表日期
2020-10-28
DOI
10.1016/j.eswa.2020.114161
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- External Validation of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical Practice
- (2020) Brian N. Dontchos et al. ACADEMIC RADIOLOGY
- Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning
- (2020) Yi Wang et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- An improved scheme for digital mammogram classification using weighted chaotic salp swarm algorithm-based kernel extreme learning machine
- (2020) Figlu Mohanty et al. APPLIED SOFT COMPUTING
- A knowledge-driven feature learning and integration method for breast cancer diagnosis on multi-sequence MRI
- (2020) Hongwei Feng et al. MAGNETIC RESONANCE IMAGING
- Automatic region of interest segmentation for breast thermogram image classification
- (2020) Daniel Sánchez-Ruiz et al. PATTERN RECOGNITION LETTERS
- Benign and malignant classification of mammogram images based on deep learning
- (2019) Hua Li et al. Biomedical Signal Processing and Control
- Classification of breast cancer histology images using incremental boosting convolution networks
- (2019) Duc My Vo et al. INFORMATION SCIENCES
- Breast cancer histopathological image classification using a hybrid deep neural network
- (2019) Rui Yan et al. METHODS
- EMS-Net: Ensemble of Multiscale Convolutional Neural Networks for Classification of Breast Cancer Histology Images
- (2019) Zhanbo Yang et al. NEUROCOMPUTING
- Fully automated computer-aided diagnosis system for micro calcifications cancer based on improved mammographic image techniques
- (2019) Mai S. Mabrouk et al. Ain Shams Engineering Journal
- Stomach Deformities Recognition Using Rank-Based Deep Features Selection
- (2019) Muhammad Attique Khan et al. JOURNAL OF MEDICAL SYSTEMS
- Image classification toward breast cancer using deeply-learned quality features
- (2019) Yan Fang et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Classification of mammogram for early detection of breast cancer using SVM classifier and Hough transform
- (2019) R. Vijayarajeswari et al. MEASUREMENT
- BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer
- (2019) Mesut Toğaçar et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Cross-task extreme learning machine for breast cancer image classification with deep convolutional features
- (2019) Pin Wang et al. Biomedical Signal Processing and Control
- Breast mass detection from the digitized X-ray mammograms based on the combination of deep active learning and self-paced learning
- (2019) Rongbo Shen et al. Future Generation Computer Systems-The International Journal of eScience
- Breast cancer diagnosis using thermography and convolutional neural networks
- (2019) Sami Ekici et al. MEDICAL HYPOTHESES
- Decision support system for detection of hypertensive retinopathy using arteriovenous ratio
- (2018) Shahzad Akbar et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Representation learning-based unsupervised domain adaptation for classification of breast cancer histopathology images
- (2018) Pendar Alirezazadeh et al. Biocybernetics and Biomedical Engineering
- 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
- NiftyNet: a deep-learning platform for medical imaging
- (2018) Eli Gibson et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system
- (2018) Mohammed A. Al-masni et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Deep Convolutional Neural Networks for breast cancer screening
- (2018) Hiba Chougrad et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images
- (2018) Mazin Abed Mohammed et al. COMPUTERS & ELECTRICAL ENGINEERING
- A support vector machine-based ensemble algorithm for breast cancer diagnosis
- (2018) Haifeng Wang et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification
- (2018) Mugahed A. Al-antari et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Deep learning in mammography and breast histology, an overview and future trends
- (2018) Azam Hamidinekoo et al. MEDICAL IMAGE ANALYSIS
- A parasitic metric learning net for breast mass classification based on mammography
- (2018) Zhicheng Jiao et al. PATTERN RECOGNITION
- Detection and Classification of Cancer in Whole Slide Breast Histopathology Images Using Deep Convolutional Networks
- (2018) Baris Gecer et al. PATTERN RECOGNITION
- Deep learning for image-based cancer detection and diagnosis − A survey
- (2018) Zilong Hu et al. PATTERN RECOGNITION
- Automated and real-time segmentation of suspicious breast masses using convolutional neural network
- (2018) Viksit Kumar et al. PLoS One
- Detecting and classifying lesions in mammograms with Deep Learning
- (2018) Dezső Ribli et al. Scientific Reports
- Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks
- (2018) Moi Hoon Yap et al. IEEE Journal of Biomedical and Health Informatics
- Patch-based system for Classification of Breast Histology images using deep learning
- (2018) Kaushiki Roy et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms
- (2018) Jinjin Hai et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion
- (2018) Michal Byra et al. MEDICAL PHYSICS
- Medical breast ultrasound image segmentation by machine learning
- (2018) Yuan Xu et al. ULTRASONICS
- Automated diagnosis of breast ultrasonography images using deep neural networks
- (2018) Xiaofeng Qi et al. MEDICAL IMAGE ANALYSIS
- Multiple instance learning for histopathological breast cancer image classification
- (2018) P.J. Sudharshan et al. EXPERT SYSTEMS WITH APPLICATIONS
- Convolutional neural network improvement for breast cancer classification
- (2018) Fung Fung Ting et al. EXPERT SYSTEMS WITH APPLICATIONS
- Breast tumor classification in ultrasound images using texture analysis and super-resolution methods
- (2017) Mohamed Abdel-Nasser et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
- (2017) Zeynettin Akkus et al. JOURNAL OF DIGITAL IMAGING
- A deep learning approach for the analysis of masses in mammograms with minimal user intervention
- (2017) Neeraj Dhungel et al. MEDICAL IMAGE ANALYSIS
- Large scale deep learning for computer aided detection of mammographic lesions
- (2017) Thijs Kooi et al. MEDICAL IMAGE ANALYSIS
- Mammogram classification using dynamic time warping
- (2017) Syed Jamal Safdar Gardezi et al. MULTIMEDIA TOOLS AND APPLICATIONS
- A BA-based algorithm for parameter optimization of Support Vector Machine
- (2017) Alaa Tharwat et al. PATTERN RECOGNITION LETTERS
- Entropy based segmentation of tumor from brain MR images – a study with teaching learning based optimization
- (2017) V. Rajinikanth et al. PATTERN RECOGNITION LETTERS
- The adaptive computer-aided diagnosis system based on tumor sizes for the classification of breast tumors detected at screening ultrasound
- (2017) Woo Kyung Moon et al. ULTRASONICS
- Grading of invasive breast carcinoma through Grassmannian VLAD encoding
- (2017) Kosmas Dimitropoulos et al. PLoS One
- Particle swarm optimization for bandwidth determination and feature selection of kernel density estimation based classifiers in diagnosis of breast cancer
- (2016) Razieh Sheikhpour et al. APPLIED SOFT COMPUTING
- Application of Gabor wavelet and Locality Sensitive Discriminant Analysis for automated identification of breast cancer using digitized mammogram images
- (2016) U. Raghavendra et al. APPLIED SOFT COMPUTING
- Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis
- (2016) Hela Mahersia et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Computerized breast cancer analysis system using three stage semi-supervised learning method
- (2016) Wenqing Sun et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- An automated confirmatory system for analysis of mammograms
- (2016) W. Peng et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Representation learning for mammography mass lesion classification with convolutional neural networks
- (2016) John Arevalo et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- LBP operators on curvelet coefficients as an algorithm to describe texture in breast cancer tissues
- (2016) Daniel O. Tambasco Bruno et al. EXPERT SYSTEMS WITH APPLICATIONS
- Classification of benign and malignant breast tumors based on hybrid level set segmentation
- (2016) Rahimeh Rouhi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Multiple-Instance Learning for Anomaly Detection in Digital Mammography
- (2016) Gwenole Quellec et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images
- (2016) Shadi Albarqouni et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring
- (2016) Michiel Kallenberg et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Applying Data Mining Techniques to Improve Breast Cancer Diagnosis
- (2016) Joana Diz et al. JOURNAL OF MEDICAL SYSTEMS
- An Improved CAD System for Breast Cancer Diagnosis Based on Generalized Pseudo-Zernike Moment and Ada-DEWNN Classifier
- (2016) Satya P. Singh et al. JOURNAL OF MEDICAL SYSTEMS
- The usefulness of a computer-aided diagnosis scheme for improving the performance of clinicians to diagnose non-mass lesions on breast ultrasonographic images
- (2016) Mai Shibusawa et al. Journal of Medical Ultrasonics
- A new fuzzy Gaussian mixture model (FGMM) based algorithm for mammography tumor image classification
- (2016) Samaneh Aminikhanghahi et al. MULTIMEDIA TOOLS AND APPLICATIONS
- An integrated method of associative classification and neuro-fuzzy approach for effective mammographic classification
- (2016) Nirase Fathima Abubacker et al. NEURAL COMPUTING & APPLICATIONS
- Breast mass classification in digital mammography based on extreme learning machine
- (2016) Weiying Xie et al. NEUROCOMPUTING
- Deep learning for visual understanding: A review
- (2016) Yanming Guo et al. NEUROCOMPUTING
- Improving the Accuracy of Computer-aided Diagnosis for Breast MR Imaging by Differentiating between Mass and Nonmass Lesions
- (2016) Cristina Gallego-Ortiz et al. RADIOLOGY
- Deep learning based classification of breast tumors with shear-wave elastography
- (2016) Qi Zhang et al. ULTRASONICS
- Computer-Aided Diagnosis for Breast Ultrasound Using Computerized BI-RADS Features and Machine Learning Methods
- (2016) Juan Shan et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Feasibility Testing: Three-dimensional Tumor Mapping in Different Orientations of Automated Breast Ultrasound
- (2016) Chung-Ming Lo et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Machine learning models in breast cancer survival prediction
- (2016) Mitra Montazeri et al. TECHNOLOGY AND HEALTH CARE
- Robust phase-based texture descriptor for classification of breast ultrasound images
- (2015) Lingyun Cai et al. Biomedical Engineering Online
- Breast cancer diagnosis in digitized mammograms using curvelet moments
- (2015) Sami Dhahbi et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM
- (2015) Fernando Soares Sérvulo de Oliveira et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Magnetic resonance imaging texture analysis classification of primary breast cancer
- (2015) S. A. Waugh et al. EUROPEAN RADIOLOGY
- Breast cancer diagnosis using Genetically Optimized Neural Network model
- (2015) Arpit Bhardwaj et al. EXPERT SYSTEMS WITH APPLICATIONS
- A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer
- (2015) Aytuğ Onan EXPERT SYSTEMS WITH APPLICATIONS
- Local energy-based shape histogram feature extraction technique for breast cancer diagnosis
- (2015) Summrina Kanwal Wajid et al. EXPERT SYSTEMS WITH APPLICATIONS
- Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern
- (2015) Mohamed Abdel-Nasser et al. EXPERT SYSTEMS WITH APPLICATIONS
- Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis
- (2015) Qinghua Huang et al. INFORMATION SCIENCES
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- An Artificial Immune System-Based Support Vector Machine Approach for Classifying Ultrasound Breast Tumor Images
- (2015) Wen-Jie Wu et al. JOURNAL OF DIGITAL IMAGING
- A new classifier for breast cancer detection based on Naïve Bayesian
- (2015) Murat Karabatak MEASUREMENT
- Computer-aided diagnosis for distinguishing between triple-negative breast cancer and fibroadenomas based on ultrasound texture features
- (2015) Woo Kyung Moon et al. MEDICAL PHYSICS
- A comparison of different Gabor feature extraction approaches for mass classification in mammography
- (2015) Salabat Khan et al. MULTIMEDIA TOOLS AND APPLICATIONS
- A new automatic mass detection method for breast cancer with false positive reduction
- (2015) Xiaoming Liu et al. NEUROCOMPUTING
- A new approach to develop computer-aided detection schemes of digital mammograms
- (2015) Maxine Tan et al. PHYSICS IN MEDICINE AND BIOLOGY
- A Computerized System to Assess Axillary Lymph Node Malignancy from Sonographic Images
- (2015) Aneta Chmielewski et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Going beyond a First Reader: A Machine Learning Methodology for Optimizing Cost and Performance in Breast Ultrasound Diagnosis
- (2015) Santosh S. Venkatesh et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Intensity-Invariant Texture Analysis for Classification of BI-RADS Category 3 Breast Masses
- (2015) Chung-Ming Lo et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Microcalcification detection in full-field digital mammograms with PFCM clustering and weighted SVM-based method
- (2015) Xiaoming Liu et al. EURASIP Journal on Advances in Signal Processing
- Parameter optimization of a computer-aided diagnosis system for detection of masses on digitized mammograms
- (2015) Milos Radovic et al. TECHNOLOGY AND HEALTH CARE
- Machine learning applications in cancer prognosis and prediction
- (2015) Konstantina Kourou et al. Computational and Structural Biotechnology Journal
- Assessment of combined textural and morphological features for diagnosis of breast masses in ultrasound
- (2015) Kadayanallur Mahadevan Prabusankarlal et al. Human-centric Computing and Information Sciences
- Interval symbolic feature extraction for thermography breast cancer detection
- (2014) Marcus C. Araújo et al. EXPERT SYSTEMS WITH APPLICATIONS
- Computer-aided detection of breast cancer on mammograms: A swarm intelligence optimized wavelet neural network approach
- (2014) J. Dheeba et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Computerized Breast Mass Detection Using Multi-Scale Hessian-Based Analysis for Dynamic Contrast-Enhanced MRI
- (2014) Yan-Hao Huang et al. JOURNAL OF DIGITAL IMAGING
- Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM
- (2014) Joberth de Nazaré Silva et al. JOURNAL OF DIGITAL IMAGING
- Computer-Aided Diagnosis of Malignant Mammograms using Zernike Moments and SVM
- (2014) Shubhi Sharma et al. JOURNAL OF DIGITAL IMAGING
- Construction the Model on the Breast Cancer Survival Analysis Use Support Vector Machine, Logistic Regression and Decision Tree
- (2014) Cheng-Min Chao et al. JOURNAL OF MEDICAL SYSTEMS
- Residual analysis of the water resonance signal in breast lesions imaged with high spectral and spatial resolution (HiSS) MRI: A pilot study
- (2014) William A. Weiss et al. MEDICAL PHYSICS
- A new quantitative image analysis method for improving breast cancer diagnosis using DCE-MRI examinations
- (2014) Qian Yang et al. MEDICAL PHYSICS
- Computerized Image Analysis for Identifying Triple-Negative Breast Cancers and Differentiating Them from Other Molecular Subtypes of Breast Cancer on Dynamic Contrast-enhanced MR Images: A Feasibility Study
- (2014) Shannon C. Agner et al. RADIOLOGY
- One-class kernel subspace ensemble for medical image classification
- (2014) Yungang Zhang et al. EURASIP Journal on Advances in Signal Processing
- A hybrid intelligent model of analyzing clinical breast cancer data using clustering techniques with feature selection
- (2013) Chien-Hsing Chen APPLIED SOFT COMPUTING
- Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms
- (2013) Bichen Zheng et al. EXPERT SYSTEMS WITH APPLICATIONS
- Classification of Breast Masses on Contrast-Enhanced Magnetic Resonance Images Through Log Detrended Fluctuation Cumulant-Based Multifractal Analysis
- (2013) Filipe Soares et al. IEEE Systems Journal
- Mass Classification in Mammograms Using Selected Geometry and Texture Features, and a New SVM-Based Feature Selection Method
- (2013) Xiaoming Liu et al. IEEE Systems Journal
- Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions
- (2013) Neha Bhooshan et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Automated analysis of non-mass-enhancing lesions in breast MRI based on morphological, kinetic, and spatio-temporal moments and joint segmentation-motion compensation technique
- (2013) Sebastian Hoffmann et al. EURASIP Journal on Advances in Signal Processing
- An evaluation of image descriptors combined with clinical data for breast cancer diagnosis
- (2013) Daniel C. Moura et al. International Journal of Computer Assisted Radiology and Surgery
- Breast cancer MRI diagnosis approach using support vector machine and pulse coupled neural networks
- (2012) Aboul Ella Hassanien et al. Journal of Applied Logic
- A fast and adaptive automated disease diagnosis method with an innovative neural network model
- (2012) Erdem Alkım et al. NEURAL NETWORKS
- INbreast
- (2011) Inês C. Moreira et al. ACADEMIC RADIOLOGY
- WBCD breast cancer database classification applying artificial metaplasticity neural network
- (2011) A. Marcano-Cedeño et al. EXPERT SYSTEMS WITH APPLICATIONS
- A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis
- (2011) Hui-Ling Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Thermography Based Breast Cancer Detection Using Texture Features and Support Vector Machine
- (2010) U. Rajendra Acharya et al. JOURNAL OF MEDICAL SYSTEMS
- Evaluation of ensemble methods for diagnosing of valvular heart disease
- (2009) Resul Das et al. EXPERT SYSTEMS WITH APPLICATIONS
- A review of automatic mass detection and segmentation in mammographic images
- (2009) Arnau Oliver et al. MEDICAL IMAGE ANALYSIS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now