A Multi-Stage Approach to Breast Cancer Classification Using Histopathology Images

Breast cancer detection in mammogram: combining modified CNN and texture feature based approach

(2022) Jayesh George Melekoodappattu et al.   Journal of Ambient Intelligence and Humanized Computing

DRDA-Net: Dense residual dual-shuffle attention network for breast cancer classification using histopathological images

(2022) Soham Chattopadhyay et al.   COMPUTERS IN BIOLOGY AND MEDICINE

MTRRE-Net: A deep learning model for detection of breast cancer from histopathological images

(2022) Soham Chattopadhyay et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep feature selection using local search embedded social ski-driver optimization algorithm for breast cancer detection in mammograms

(2022) Payel Pramanik et al.   NEURAL COMPUTING & APPLICATIONS

Gamma function based ensemble of CNN models for breast cancer detection in histopathology images

(2022) Samriddha Majumdar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Breast cancer histopathological image classification using attention high‐order deep network

(2021) Ying Zou et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Computer Aided Breast Cancer Detection Using Ensembling of Texture and Statistical Image Features

(2021) Soumya Deep Roy et al.   SENSORS

Fuzzy ensemble of deep learning models using choquet fuzzy integral, coalition game and information theory for breast cancer histology classification

(2021) Pratik Bhowal et al.   EXPERT SYSTEMS WITH APPLICATIONS

Carcinoma Type Classification From High-Resolution Breast Microscopy Images Using a Hybrid Ensemble of Deep Convolutional Features and Gradient Boosting Trees Classifiers

(2021) Ritabrata Sanyal et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

A novel bat optimized runlength networks (BORN) for an efficient classification of breast cancer

(2020) G. Nirmala et al.   Journal of Ambient Intelligence and Humanized Computing

Early diagnose breast cancer with PCA-LDA based FER and neuro-fuzzy classification system

(2020) R. Preetha et al.   Journal of Ambient Intelligence and Humanized Computing

Automated breast cancer detection using hybrid extreme learning machine classifier

(2020) Jayesh George Melekoodappattu et al.   Journal of Ambient Intelligence and Humanized Computing

Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review

(2020) Essam H. Houssein et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images

(2019) Achim Hekler et al.   EUROPEAN JOURNAL OF CANCER

BACH: Grand challenge on breast cancer histology images

(2019) Guilherme Aresta et al.   MEDICAL IMAGE ANALYSIS

A Review on Curability of Cancers: More Efforts for Novel Therapeutic Options Are Needed

(2019) Shuncong Wang et al.   Cancers

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

Cancer statistics, 2018

(2018) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

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

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 classification of intraductal breast lesions using histopathological images

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