A Novel Hybrid Deep Learning Model for Metastatic Cancer Detection

Federated learning and next generation wireless communications: A survey on bidirectional relationship

(2022) Debaditya Shome et al.   Transactions on Emerging Telecommunications Technologies

RL/DRL Meets Vehicular Task Offloading Using Edge and Vehicular Cloudlet: A Survey

(2022) Jinshi Liu et al.   IEEE Internet of Things Journal

A Hybrid Deep Learning-Based Approach for Brain Tumor Classification

(2022) Asaf Raza et al.   Electronics

NOMA-Enabled Backscatter Communications for Green Transportation in Automotive-Industry 5.0

(2022) Wali Ullah Khan et al.   IEEE Transactions on Industrial Informatics

Securing Industrial Internet of Things Against Botnet Attacks Using Hybrid Deep Learning Approach

(2022) Tooba Hasan et al.   IEEE Transactions on Network Science and Engineering

Biomarker Discovery and Validation: Statistical Considerations

(2021) Fang-Shu Ou et al.   Journal of Thoracic Oncology

A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches

(2021) Yogendra Singh Solanki et al.   Electronics

Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR

(2021) Yeşim Eroğlu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A Hybrid Deep Learning-Driven SDN Enabled Mechanism for Secure Communication in Internet of Things (IoT)

(2021) Danish Javeed et al.   SENSORS

Efficient Algorithms for E-Healthcare to Solve Multiobject Fuse Detection Problem

(2021) Ijaz Ahmad et al.   Journal of Healthcare Engineering

Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples

(2021) Ahsan Bin Tufail et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

Learning-Based Resource Allocation for Backscatter-Aided Vehicular Networks

(2021) Wali Ullah Khan et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Convolutional neural network-based models for diagnosis of breast cancer

(2020) Mehedi Masud et al.   NEURAL COMPUTING & APPLICATIONS

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

(2019) Dina A. Ragab et al.   PeerJ

BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer

(2019) Mesut Toğaçar et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Detection and Classification of Cancer in Whole Slide Breast Histopathology Images Using Deep Convolutional Networks

(2018) Baris Gecer et al.   PATTERN RECOGNITION

Ultrasound Imaging Technologies for Breast Cancer Detection and Management: A Review

(2018) Rongrong Guo et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Optimal deep learning model for classification of lung cancer on CT images

(2018) Lakshmanaprabu S.K. et al.   Future Generation Computer Systems-The International Journal of eScience

Convolutional neural network improvement for breast cancer classification

(2018) Fung Fung Ting et al.   EXPERT SYSTEMS WITH APPLICATIONS

Breast cancer classification using deep belief networks

(2016) Ahmed M. Abdel-Zaher et al.   EXPERT SYSTEMS WITH APPLICATIONS

Breast Cancer Detection Using PCPCET and ADEWNN: A Geometric Invariant Approach to Medical X-Ray Image Sensors

(2016) Satya P. Singh et al.   IEEE SENSORS JOURNAL

A Dataset for Breast Cancer Histopathological Image Classification

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

Machine learning models in breast cancer survival prediction

(2016) Mitra Montazeri et al.   TECHNOLOGY AND HEALTH CARE

Machine learning applications in cancer prognosis and prediction

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

Breast cancer risk estimation with artificial neural networks revisited

(2010) Turgay Ayer et al.   CANCER

Why Most Gene Expression Signatures of Tumors Have Not Been Useful in the Clinic

(2010) S. Koscielny   Science Translational Medicine

Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances

(2009) Jinshan Tang et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE