Systematic Review of Computing Approaches for Breast Cancer Detection Based Computer Aided Diagnosis Using Mammogram Images

A Review of Deep-Learning-Based Medical Image Segmentation Methods

(2021) Xiangbin Liu et al.   Sustainability

Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine

(2021) Vivek Lahoura et al.   Diagnostics

Radiomic Feature Reduction Approach to Predict Breast Cancer by Contrast-Enhanced Spectral Mammography Images

(2021) Raffaella Massafra et al.   Diagnostics

Dilated Semantic Segmentation for Breast Ultrasonic Lesion Detection Using Parallel Feature Fusion

(2021) Rizwana Irfan et al.   Diagnostics

A review on computer-aided design and manufacturing of patient-specific maxillofacial implants

(2020) Afaque Rafique Memon et al.   Expert Review of Medical Devices

Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—a Comparative Insight

(2020) Shallu Sharma et al.   JOURNAL OF DIGITAL IMAGING

U1 snRNP regulates cancer cell migration and invasion in vitro

(2020) Jung-Min Oh et al.   Nature Communications

A deep stacked random vector functional link network autoencoder for diagnosis of brain abnormalities and breast cancer

(2020) Deepak Ranjan Nayak et al.   Biomedical Signal Processing and Control

Automated breast cancer detection in digital mammograms: A moth flame optimization based ELM approach

(2020) Debendra Muduli et al.   Biomedical Signal Processing and Control

DE-Ada*: A Novel Model for Breast Mass Classification Using Cross-modal Pathological Semantic Mining and Organic Integration of Multi-feature Fusions

(2020) Hongbin Zhang et al.   INFORMATION SCIENCES

Automated mammographic mass detection using deformable convolution and multiscale features

(2020) Junchuan Peng et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Characterization of mammographic masses based on local photometric attributes

(2020) Rinku Rabidas et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms

(2020) Said Boumaraf et al.   Biomed Research International

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

Computer-aided breast cancer diagnosis based on image segmentation and interval analysis

(2020) Qing Liu et al.   Automatika

Optimal breast tumor diagnosis using discrete wavelet transform and deep belief network based on improved sunflower optimization method

(2020) Lizhen Shen et al.   Biomedical Signal Processing and Control

Breast density classification in mammograms: An investigation of encoding techniques in binary-based local patterns

(2020) Andrik Rampun et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art

(2020) Ioannis Sechopoulos et al.   SEMINARS IN CANCER BIOLOGY

Mass detection in mammograms by bilateral analysis using convolution neural network

(2020) Yanfeng Li et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review

(2020) Yuliana Jiménez-Gaona et al.   Applied Sciences-Basel

Fully Automated Breast Density Segmentation and Classification Using Deep Learning

(2020) Nasibeh Saffari et al.   Diagnostics

Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network

(2020) Yu-Dong Zhang et al.   INFORMATION PROCESSING & MANAGEMENT

Extraction of spiculated parts of mammogram tumors to improve accuracy of classification

(2019) H. Pezeshki et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Detection of breast cancer mass using MSER detector and features matching

(2019) Shayma’a A. Hassan et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A novel method for breast mass segmentation: from superpixel to subpixel segmentation

(2019) Shenghua Gu et al.   MACHINE VISION AND APPLICATIONS

Benign and malignant classification of mammogram images based on deep learning

(2019) Hua Li et al.   Biomedical Signal Processing and Control

A Hybridized ELM for Automatic Micro Calcification Detection in Mammogram Images Based on Multi-Scale Features

(2019) Jayesh George Melekoodappattu et al.   JOURNAL OF MEDICAL SYSTEMS

A microcalcification cluster detection method based on deep learning and multi-scale feature fusion

(2019) Xinsheng Zhang et al.   JOURNAL OF SUPERCOMPUTING

Adaptive hysteresis thresholding segmentation technique for localizing the breast masses in the curve stitching domain

(2019) Bushra Mughal et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review

(2019) Syed Jamal Safdar Gardezi et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Utilization of DenseNet201 for diagnosis of breast abnormality

(2019) Xiang Yu et al.   MACHINE VISION AND APPLICATIONS

Breast density analysis based on glandular tissue segmentation and mixed feature extraction

(2019) Xiaonan Gong et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Multi-level nested pyramid network for mass segmentation in mammograms

(2019) Runze Wang 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

Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer

(2019) Xuxin Chen et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network

(2019) Andrik Rampun et al.   MEDICAL IMAGE ANALYSIS

A fast and automated segmentation method for detection of masses using folded kernel based fuzzy c-means clustering algorithm

(2019) Poulomi Das et al.   APPLIED SOFT COMPUTING

Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods

(2019) Gang Kou et al.   APPLIED SOFT COMPUTING

Classification of Mammogram Images Using Multiscale all Convolutional Neural Network (MA-CNN)

(2019) S. Akila Agnes et al.   JOURNAL OF MEDICAL SYSTEMS

Automated and effective content-based mammogram retrieval using wavelet based CS-LBP feature and self-organizing map

(2018) Vibhav Prakash Singh et al.   Biocybernetics and Biomedical Engineering

Feasibility and acceptability of combining cognitive behavioural therapy techniques with swallowing therapy in head and neck cancer dysphagia

(2018) J. M. Patterson et al.   BMC CANCER

Radiomics based detection and characterization of suspicious lesions on full field digital mammograms

(2018) Suhas G. Sapate 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 hierarchical pipeline for breast boundary segmentation and calcification detection in mammograms

(2018) Peng Shi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning

(2018) Mina Yousefi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Density-wise two stage mammogram classification using texture exploiting descriptors

(2018) Aditya A. Shastri et al.   EXPERT SYSTEMS WITH APPLICATIONS

Superpixel texture analysis for classification of breast masses in dense background

(2018) Shelda Sajeev et al.   IET Computer Vision

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

Automatic Pectoral Muscle Region Segmentation in Mammograms Using Genetic Algorithm and Morphological Selection

(2018) Rongbo Shen et al.   JOURNAL OF DIGITAL IMAGING

Detection of breast abnormalities in digital mammograms using the electromagnetism-like algorithm

(2018) Khaoula Belhaj Soulami et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Morphological operation and scaled Réyni entropy based approach for masses detection in mammograms

(2018) P. S. Vikhe et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Mammogram classification using contourlet features with forest optimization-based feature selection approach

(2018) Figlu Mohanty et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Breast cancer detection in mammography using spatial diversity, geostatistics, and concave geometry

(2018) Geraldo Braz Junior et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Diagnosis of breast tissue in mammography images based local feature descriptors

(2018) Caio Eduardo Falcão Matos et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Breast mass classification via deeply integrating the contextual information from multi-view data

(2018) Hongyu Wang et al.   PATTERN RECOGNITION

A parasitic metric learning net for breast mass classification based on mammography

(2018) Zhicheng Jiao et al.   PATTERN RECOGNITION

A novel multistage system for the detection and removal of pectoral muscles in mammograms

(2018) İdil IŞIKLI ESENER et al.   Turkish Journal of Electrical Engineering and Computer Sciences

Extraction of fuzzy rules at different concept levels related to image features of mammography for diagnosis of breast cancer

(2018) Mahsa Goudarzi et al.   Biocybernetics and Biomedical Engineering

SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis

(2018) Fei Gao et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network

(2018) Hwejin Jung et al.   PLoS One

A computer-aided diagnosis system using Tchebichef features and improved grey wolf optimized extreme learning machine

(2018) Figlu Mohanty et al.   APPLIED INTELLIGENCE

Feature subset selection for classification of malignant and benign breast masses in digital mammography

(2018) Ramzi Chaieb et al.   PATTERN ANALYSIS AND APPLICATIONS

Transferring deep neural networks for the differentiation of mammographic breast lesions

(2018) ShaoDe Yu et al.   Science China-Technological Sciences

A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms

(2018) Kaiming Yin et al.   International Journal of Computer Assisted Radiology and Surgery

Fuzzy C-means and region growing based classification of tumor from mammograms using hybrid texture feature

(2018) Tariq Sadad et al.   Journal of Computational Science

Convolutional neural network improvement for breast cancer classification

(2018) Fung Fung Ting et al.   EXPERT SYSTEMS WITH APPLICATIONS

A deep learning method for classifying mammographic breast density categories

(2017) Aly A. Mohamed et al.   MEDICAL PHYSICS

Mass classification of benign and malignant with a new twin support vector machine joint $${l_{2,1}}$$ l 2 , 1 -norm

(2017) Xiaoming Liu et al.   International Journal of Machine Learning and Cybernetics

Deep learning

(2015) Yann LeCun et al.   NATURE

Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules

(2014) Fangfang Han et al.   JOURNAL OF DIGITAL IMAGING

A survey of MRI-based brain tumor segmentation methods

(2014) Jin Liu et al.   TSINGHUA SCIENCE AND TECHNOLOGY

State of the art survey on MRI brain tumor segmentation

(2013) Nelly Gordillo et al.   MAGNETIC RESONANCE IMAGING

RETRACTED ARTICLE: An improved data mining technique for classification and detection of breast cancer from mammograms

(2012) Aswini Kumar Mohanty et al.   NEURAL COMPUTING & APPLICATIONS