Deep Learning Cascaded Feature Selection Framework for Breast Cancer Classification: Hybrid CNN with Univariate-Based Approach

Breast Tumour Classification Using Ultrasound Elastography with Machine Learning: A Systematic Scoping Review

(2022) Ye-Jiao Mao et al.   Cancers

Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data

(2022) Leonardo Lucio Custode et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

ForkJoinPcc Algorithm for Computing the Pcc Matrix in Gene Co-Expression Networks

(2022) Amel Ali Alhussan et al.   Electronics

Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review

(2022) Jireh Yi-Le Chan et al.   Mathematics

BO-ALLCNN: Bayesian-Based Optimized CNN for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Smear Images

(2022) Ghada Atteia et al.   SENSORS

A Hybrid Deep Transfer Learning of CNN-Based LR-PCA for Breast Lesion Diagnosis via Medical Breast Mammograms

(2022) Nagwan Abdel Samee et al.   SENSORS

Sleep apnea detection from ECG signal using deep CNN-based structures

(2022) Ahmad Ayatollahi et al.   Evolving Systems

Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2021) Hyuna Sung et al.   CA-A CANCER JOURNAL FOR CLINICIANS

A framework for breast cancer classification using Multi-DCNNs

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

DFTSA-Net: Deep Feature Transfer-Based Stacked Autoencoder Network for DME Diagnosis

(2021) Ghada Atteia et al.   Entropy

Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis

(2021) Sarah E. Hickman et al.   RADIOLOGY

Multi-Task Fusion for Improving Mammography Screening Data Classification

(2021) Maria Wimmer et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

DE-Ada*: A Novel Model for Breast Mass Classification Using Cross-modal Pathological Semantic Mining and Organic Integration of Multi-feature Fusions

(2020) Hongbin Zhang et al.   INFORMATION SCIENCES

Risks of Feature Leakage and Sample Size Dependencies in Deep Feature Extraction for Breast Mass Classification

(2020) Ravi K. Samala et al.   MEDICAL PHYSICS

Continual lifelong learning with neural networks: A review

(2019) German I. Parisi et al.   NEURAL NETWORKS

Deep convolutional neural networks for mammography: advances, challenges and applications

(2019) Dina Abdelhafiz et al.   BMC BIOINFORMATICS

Dimension reduction of image deep feature using PCA

(2019) Ji Ma et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Breast Cancer Diagnosis Using an Efficient CAD System Based on Multiple Classifiers

(2019) Ragab et al.   Diagnostics

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

An Automatic Computer-Aided Diagnosis System for Breast Cancer in Digital Mammograms via Deep Belief Network

(2017) Mugahed A. Al-antari et al.   Journal of Medical and Biological Engineering

Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms

(2017) Ravi K Samala et al.   PHYSICS IN MEDICINE AND BIOLOGY

Early Detection and Screening for Breast Cancer

(2017) Cathy Coleman   Seminars in Oncology Nursing

MO-DE-207B-06: Computer-Aided Diagnosis of Breast Ultrasound Images Using Transfer Learning From Deep Convolutional Neural Networks

(2016) B Huynh et al.   MEDICAL PHYSICS

Microcalcification detection in full-field digital mammograms with PFCM clustering and weighted SVM-based method

(2015) Xiaoming Liu et al.   EURASIP Journal on Advances in Signal Processing

Computer-aided diagnosis of breast microcalcifications based on dual-tree complex wavelet transform

(2012) Wushuai Jian et al.   Biomedical Engineering Online

Detection of biomarkers for Hepatocellular Carcinoma using a hybrid univariate gene selection methods

(2012) Nagwan M Abdel Samee et al.   Theoretical Biology and Medical Modelling

INbreast

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

Robust biomarker identification for cancer diagnosis with ensemble feature selection methods

(2009) Thomas Abeel et al.   BIOINFORMATICS

A Survey on Transfer Learning

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

minet: A R/Bioconductor Package for Inferring Large Transcriptional Networks Using Mutual Information

(2008) Patrick E Meyer et al.   BMC BIOINFORMATICS