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

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

Classification of breast cancer histology images using incremental boosting convolution networks

(2019) Duc My Vo et al.   INFORMATION SCIENCES

Multi-Path Dilated Residual Network for Nuclei Segmentation and Detection

(2019) Eric Ke Wang et al.   Cells

Machine learning approaches for pathologic diagnosis

(2019) Daisuke Komura et al.   VIRCHOWS ARCHIV

Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications

(2018) Hang Chang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep learning for image-based cancer detection and diagnosis − A survey

(2018) Zilong Hu et al.   PATTERN RECOGNITION

Cell detection in pathology and microscopy images with multi-scale fully convolutional neural networks

(2018) Xipeng Pan et al.   WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS

Patch-based system for Classification of Breast Histology images using deep learning

(2018) Kaushiki Roy et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Efficient automated detection of mitotic cells from breast histological images using deep convolution neutral network with wavelet decomposed patches

(2018) Dev Kumar Das et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A Novel Enhanced Gray Scale Adaptive Method for Prediction of Breast Cancer

(2018) C. Selvi et al.   JOURNAL OF MEDICAL SYSTEMS

Automatic cell segmentation in histopathological images via two-staged superpixel-based algorithms

(2018) Abdulkadir Albayrak et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images

(2018) Le Hou et al.   PATTERN RECOGNITION

Multiple instance learning for histopathological breast cancer image classification

(2018) P.J. Sudharshan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images

(2017) Youyi Song et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Constrained Deep Weak Supervision for Histopathology Image Segmentation

(2017) Zhipeng Jia et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Effects of different preprocessing algorithms on the prognostic value of breast tumour microscopic images

(2017) D. KOLAREVIĆ et al.   JOURNAL OF MICROSCOPY

3D deeply supervised network for automated segmentation of volumetric medical images

(2017) Qi Dou et al.   MEDICAL IMAGE ANALYSIS

Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks

(2017) Xipeng Pan et al.   NEUROCOMPUTING

Breast cancer cell nuclei classification in histopathology images using deep neural networks

(2017) Yangqin Feng et al.   International Journal of Computer Assisted Radiology and Surgery

An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer

(2017) Monjoy Saha et al.   Scientific Reports

Classification of breast cancer histology images using Convolutional Neural Networks

(2017) Teresa Araújo et al.   PLoS One

Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model

(2017) Zhongyi Han et al.   Scientific Reports

A genetically optimized neural network model for multi-class classification

(2016) Arpit Bhardwaj et al.   EXPERT SYSTEMS WITH APPLICATIONS

An Automatic Learning-Based Framework for Robust Nucleus Segmentation

(2016) Fuyong Xing et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

(2016) Korsuk Sirinukunwattana et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images

(2016) Jun Xu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic cell nuclei segmentation and classification of breast cancer histopathology images

(2016) Pin Wang et al.   SIGNAL PROCESSING

Asymmetry analysis of breast thermograms using automated segmentation and texture features

(2016) Dayakshini Sathish et al.   Signal Image and Video Processing

Computer Aided Detection of Cervical Cancer Using Pap Smear Images Based on Adaptive Neuro Fuzzy Inference System Classifier

(2016) P. Sukumar et al.   Journal of Medical Imaging and Health Informatics

Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images

(2016) David Romo-Bucheli et al.   Scientific Reports

Breast cancer diagnosis using Genetically Optimized Neural Network model

(2015) Arpit Bhardwaj et al.   EXPERT SYSTEMS WITH APPLICATIONS

Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning

(2015) Youyi Song et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A new classifier for breast cancer detection based on Naïve Bayesian

(2015) Murat Karabatak   MEASUREMENT

Dominant local binary patterns for texture classification: Labelled or unlabelled?

(2015) Francesco Bianconi et al.   PATTERN RECOGNITION LETTERS

A Fuzzy-C-Means-Clustering Approach: Quantifying Chromatin Pattern of Non-Neoplastic Cervical Squamous Cells

(2015) Jing Rui Tang et al.   PLoS One

Machine learning applications in cancer prognosis and prediction

(2015) Konstantina Kourou et al.   Computational and Structural Biotechnology Journal

Accurate cell segmentation in microscopy images using membrane patterns

(2014) Sotiris Dimopoulos et al.   BIOINFORMATICS

Color edges extraction using statistical features and automatic threshold technique: application to the breast cancer cells

(2014) Salim Ben Chaabane et al.   Biomedical Engineering Online

A new feature extraction framework based on wavelets for breast cancer diagnosis

(2014) Semih Ergin et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Breast Cancer Histopathology Image Analysis: A Review

(2014) Mitko Veta et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Perioperative measures to optimize margin clearance in breast conserving surgery

(2014) Fernando A. Angarita et al.   SURGICAL ONCOLOGY-OXFORD

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Online Feature Selection and Its Applications

(2013) Jialei Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Automatic Nuclei Segmentation in H&E Stained Breast Cancer Histopathology Images

(2013) Mitko Veta et al.   PLoS One

Computer-Based Image Studies on Tumor Nests Mathematical Features of Breast Cancer and Their Clinical Prognostic Value

(2013) Lin-Wei Wang et al.   PLoS One

Automatic segmentation of cell nuclei in Feulgen-stained histological sections of prostate cancer and quantitative evaluation of segmentation results

(2012) Birgitte Nielsen et al.   CYTOMETRY PART A

An Integrated Region-, Boundary-, Shape-Based Active Contour for Multiple Object Overlap Resolution in Histological Imagery

(2012) S. Ali et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Efficient nucleus detector in histopathology images

(2012) J.P. VINK et al.   JOURNAL OF MICROSCOPY

Multiscale Feature Analysis of Salivary Gland Branching Morphogenesis

(2012) Cemal Cagatay Bilgin et al.   PLoS One

Computerized classification of intraductal breast lesions using histopathological images

(2011) M. Murat Dundar et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Digital imaging in pathology - current applications and challenges

(2011) Elena Brachtel et al.   Journal of Biophotonics

Global Patterns of Cancer Incidence and Mortality Rates and Trends

(2010) A. Jemal et al.   CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION

Automated segmentation of tissue images for computerized IHC analysis

(2010) S. Di Cataldo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Unsupervised Segmentation of Overlapped Nuclei Using Bayesian Classification

(2010) Chanho Jung et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Two coding based adaptive parallel co-genetic algorithm with double agents structure

(2009) Yongming Li et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Dominant Local Binary Patterns for Texture Classification

(2009) S. Liao et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING