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

Early detection of breast malignancy using wavelet features and optimized classifier

(2021) Jayesh George Melekoodappattu et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Residual learning based CNN for breast cancer histopathological image classification

(2020) Mahesh Gour et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Pre‐trained convolutional neural networks as feature extractors for diagnosis of breast cancer using histopathology

(2020) Shweta Saxena et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Deep learning and optimization algorithms for automatic breast cancer detection

(2020) Zijun Sha et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Images data practices for Semantic Segmentation of Breast Cancer using Deep Neural Network

(2020) Luqman Ahmed 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

Detection and classification of breast cancer from digital mammograms using hybrid extreme learning machine classifier

(2020) Jayesh George Melekoodappattu et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Automatic skin cancer detection in dermoscopy images by combining convolutional neural networks and texture features

(2020) Seyed Mohammad Alizadeh et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

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

Comparative assessment of CNN architectures for classification of breast FNAC images

(2019) Amartya Ranjan Saikia et al.   TISSUE & CELL

Classification of mammogram images using the energy probability in frequency domain and most discriminative power coefficients

(2019) Nasser Edinne Benhassine et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Detection of abnormalities in mammograms using deep features

(2019) Nasrin Tavakoli et al.   Journal of Ambient Intelligence and Humanized Computing

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

A hierarchical pipeline for breast boundary segmentation and calcification detection in mammograms

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

Histopathological Whole Slide Image Analysis Using Context-Based CBIR

(2018) Yushan Zheng et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A new computer-aided detection approach based on analysis of local and global mammographic feature asymmetry

(2018) Adam Kelder et al.   MEDICAL PHYSICS

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

(2018) Zhicheng Jiao et al.   PATTERN RECOGNITION

Abnormal breast identification by nine-layer convolutional neural network with parametric rectified linear unit and rank-based stochastic pooling

(2018) Yu-Dong Zhang et al.   Journal of Computational Science

Computer aided detection of mammographic mass using exact Gaussian–Hermite moments

(2018) Mohamed Meselhy Eltoukhy et al.   Journal of Ambient Intelligence and Humanized Computing

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

A deep learning approach for the analysis of masses in mammograms with minimal user intervention

(2017) Neeraj Dhungel et al.   MEDICAL IMAGE ANALYSIS

Mammogram classification using dynamic time warping

(2017) Syed Jamal Safdar Gardezi et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A Dataset for Breast Cancer Histopathological Image Classification

(2016) Fabio A. Spanhol et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests

(2016) Deepak Ranjan Nayak et al.   NEUROCOMPUTING

Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution

(2015) Fatemeh Pak et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer

(2015) Shradhananda Beura et al.   NEUROCOMPUTING

Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images

(2013) Marek Kowal et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Remote Computer-Aided Breast Cancer Detection and Diagnosis System Based on Cytological Images

(2013) Yasmeen Mourice George et al.   IEEE Systems Journal

A textural approach for mass false positive reduction in mammography

(2009) X. Lladó et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS