A Review on Image- Based Approaches for Breast Cancer Detection, Segmentation, and Classification

Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model

(2020) Laith Alzubaidi et al.   Electronics

Image feature extraction in detection technology of breast tumor

(2020) Na Xu et al.   JOURNAL OF KING SAUD UNIVERSITY SCIENCE

Breast Cancer Detection, Segmentation and Classification on Histopathology Images Analysis: A Systematic Review

(2020) R. Krithiga et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Evaluating the Efficiency of Infrared Breast Thermography for Early Breast Cancer Risk Prediction in Asymptomatic Population

(2019) Usha Rani Gogoi et al.   INFRARED PHYSICS & TECHNOLOGY

Effect of despeckle filtering on classification of breast tumors using ultrasound images

(2019) Kriti et al.   Biocybernetics and Biomedical Engineering

Classification of breast cancer histology images using incremental boosting convolution networks

(2019) Duc My Vo et al.   INFORMATION SCIENCES

Systematic mapping study on diagnosis of vulnerable plaque

(2019) Zahra Rezaei et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Classification of mammogram for early detection of breast cancer using SVM classifier and Hough transform

(2019) R. Vijayarajeswari et al.   MEASUREMENT

Computer-aided prediction model for axillary lymph node metastasis in breast cancer using tumor morphological and textural features on ultrasound

(2018) Woo Kyung Moon et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Integrating genomic data and pathological images to effectively predict breast cancer clinical outcome

(2018) Dongdong Sun et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Spatiotemporal features of DCE-MRI for breast cancer diagnosis

(2018) Masood Banaie 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

Automatic breast ultrasound image segmentation: A survey

(2018) Min Xian et al.   PATTERN RECOGNITION

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

Convolutional neural network improvement for breast cancer classification

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

Automatic superpixel-based segmentation method for breast ultrasound images

(2018) Mohammad I. Daoud et al.   EXPERT SYSTEMS WITH APPLICATIONS

Radiomic analysis of DCE-MRI for prediction of response to neoadjuvant chemotherapy in breast cancer patients

(2017) Ming Fan et al.   EUROPEAN JOURNAL OF RADIOLOGY

Infrared imaging technology for breast cancer detection – Current status, protocols and new directions

(2017) Satish G. Kandlikar et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Breast tumor segmentation with prior knowledge learning

(2017) Xiaoming Xi et al.   NEUROCOMPUTING

Breast cancer detection in automated 3D breast ultrasound using iso-contours and cascaded RUSBoosts

(2017) Ehsan Kozegar et al.   ULTRASONICS

A new feature extraction method based on multi-resolution representations of mammograms

(2016) Nebi Gedik   APPLIED SOFT COMPUTING

Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy

(2016) Bartosz Krawczyk et al.   APPLIED SOFT COMPUTING

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

Detection and classification of masses in mammographic images in a multi-kernel approach

(2016) Sidney M.L. de Lima et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Multi-scale texture-based level-set segmentation of breast B-mode images

(2016) Itai Lang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Breast mass classification on mammograms using radial local ternary patterns

(2016) Chisako Muramatsu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Classification of benign and malignant breast tumors based on hybrid level set segmentation

(2016) Rahimeh Rouhi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Identification of mammography anomalies for breast cancer detection by an ensemble of classification models based on artificial immune system

(2016) Gabriele Magna et al.   KNOWLEDGE-BASED SYSTEMS

A novel breast tumor classification algorithm using neutrosophic score features

(2016) Khalid M. Amin et al.   MEASUREMENT

Breast mass classification in digital mammography based on extreme learning machine

(2016) Weiying Xie et al.   NEUROCOMPUTING

Breast cancer detection using MRF-based probable texture feature and decision-level fusion-based classification using HMM on thermography images

(2016) Rozita Rastghalam et al.   PATTERN RECOGNITION

Deep learning based classification of breast tumors with shear-wave elastography

(2016) Qi Zhang et al.   ULTRASONICS

New Fully Automated Method for Segmentation of Breast Lesions on Ultrasound Based on Texture Analysis

(2016) Wilfrido Gómez-Flores et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

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

ANN vs. SVM: Which one performs better in classification of MCCs in mammogram imaging

(2011) Jinchang Ren   KNOWLEDGE-BASED SYSTEMS

Distance Regularized Level Set Evolution and Its Application to Image Segmentation

(2010) Chunming Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING