Multiclassification of Endoscopic Colonoscopy Images Based on Deep Transfer Learning

Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM

(2021) Parvathaneni Naga Srinivasu et al.   SENSORS

A predictive GA-based model for closed high-utility itemset mining

(2021) Jerry Chun-Wei Lin et al.   APPLIED SOFT COMPUTING

Combining DC-GAN with ResNet for blood cell image classification

(2020) Li Ma et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods

(2020) Muhammad Fazal Ijaz et al.   SENSORS

Generative adversarial networks

(2020) Ian Goodfellow et al.   COMMUNICATIONS OF THE ACM

Covid-19 Classification by FGCNet with Deep Feature Fusion from Graph Convolutional Network and Convolutional Neural Network

(2020) Shui-Hua Wang et al.   Information Fusion

Analytical Study of Hybrid Techniques for Image Encryption and Decryption

(2020) Chiranji Lal Chowdhary et al.   SENSORS

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

(2020) Yu-Dong Zhang et al.   Information Fusion

ASRNN: A recurrent neural network with an attention model for sequence labeling

(2020) Jerry Chun-Wei Lin et al.   KNOWLEDGE-BASED SYSTEMS

Privacy-Preserving Multiobjective Sanitization Model in 6G IoT Environments

(2020) Jerry Chun-Wei Lin et al.   IEEE Internet of Things Journal

Classification of skin lesions using transfer learning and augmentation with Alex-net

(2019) Khalid M. Hosny et al.   PLoS One

Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications

(2018) Hang Chang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing

(2018) Ganjar Alfian et al.   SENSORS

Hybrid Prediction Model for Type 2 Diabetes and Hypertension Using DBSCAN-Based Outlier Detection, Synthetic Minority Over Sampling Technique (SMOTE), and Random Forest

(2018) Muhammad Ijaz et al.   Applied Sciences-Basel

Application of deep transfer learning for automated brain abnormality classification using MR images

(2018) Muhammed Talo et al.   Cognitive Systems Research

Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database

(2017) Joon Yul Choi et al.   PLoS One

Exploring the clinical potential of an automatic colonic polyp detection method based on the creation of energy maps

(2016) Glòria Fernández-Esparrach et al.   ENDOSCOPY

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

(2016) Korsuk Sirinukunwattana et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A deep feature based framework for breast masses classification

(2016) Zhicheng Jiao et al.   NEUROCOMPUTING

Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning

(2015) Xinting Gao et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING