An Automated In-Depth Feature Learning Algorithm for Breast Abnormality Prognosis and Robust Characterization from Mammography Images Using Deep Transfer Learning

A framework for breast cancer classification using Multi-DCNNs

(2021) Dina A. Ragab et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning and optimization algorithms for automatic breast cancer detection

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

Deep convolutional neural networks with transfer learning for automated brain image classification

(2020) Taranjit Kaur et al.   MACHINE VISION AND APPLICATIONS

Deep feature–based automatic classification of mammograms

(2020) Ridhi Arora et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Parameter-free fuzzy histogram equalisation with illumination preserving characteristics dedicated for contrast enhancement of magnetic resonance images

(2020) Simi V.R. et al.   APPLIED SOFT COMPUTING

Classification of breast cancer mammogram images using convolution neural network

(2020) Umar Albalawi et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification

(2020) Xin Shu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Breast cancer detection using deep convolutional neural networks and support vector machines

(2019) Dina A. Ragab et al.   PeerJ

Breast cancer histopathological image classification using a hybrid deep neural network

(2019) Rui Yan et al.   METHODS

A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning

(2019) Arshia Rehman et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Brain tumor classification using deep CNN features via transfer learning

(2019) S. Deepak et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

(2019) Li Shen et al.   Scientific Reports

Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network

(2019) Vivek Kumar Singh et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

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 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

The skin cancer classification using deep convolutional neural network

(2018) Ulzii-Orshikh Dorj et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Detecting and classifying lesions in mammograms with Deep Learning

(2018) Dezső Ribli et al.   Scientific Reports

Automated diagnosis of breast ultrasonography images using deep neural networks

(2018) Xiaofeng Qi et al.   MEDICAL IMAGE ANALYSIS

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

(2017) Neeraj Dhungel et al.   MEDICAL IMAGE ANALYSIS

Multi-Scale Gaussian Normalization for Solar Image Processing

(2014) Huw Morgan et al.   SOLAR PHYSICS

INbreast

(2011) Inês C. Moreira et al.   ACADEMIC RADIOLOGY

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

CADx of mammographic masses and clustered microcalcifications: A review

(2009) Matthias Elter et al.   MEDICAL PHYSICS