Related references
Note: Only part of the references are listed.Automatic breast tumor detection in ABVS images based on convolutional neural network and superpixel patterns
Xin Wang et al.
NEURAL COMPUTING & APPLICATIONS (2019)
A knowledge-based image enhancement and denoising approach
Hafiz Syed Muhammad Muslim et al.
COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY (2019)
An Adaptive Dropout Deep Computation Model for Industrial IoT Big Data Learning With Crowdsourcing to Cloud Computing
Qingchen Zhang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Smart connected electronic gastroscope system for gastric cancer screening using multi-column convolutional neural networks
Hao Wang et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)
Multi-scale CNN based on region proposals for efficient breast abnormality recognition
Ibtissam Bakkouri et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2019)
A deep CNN based transfer learning method for false positive reduction
Zhenghao Shi et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2019)
A Survey on Deep Learning: Algorithms, Techniques, and Applications
Samira Pouyanfar et al.
ACM COMPUTING SURVEYS (2019)
Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network
Tomonori Aoki et al.
GASTROINTESTINAL ENDOSCOPY (2019)
A novel deep learning based framework for the detection and classification of breast cancer using transfer learning
SanaUllah Khan et al.
PATTERN RECOGNITION LETTERS (2019)
Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural network
Chuang Wang et al.
RADIOTHERAPY AND ONCOLOGY (2019)
A gentle introduction to deep learning in medical image processing
Andreas Maier et al.
ZEITSCHRIFT FUR MEDIZINISCHE PHYSIK (2019)
Automated Segmentation of Colorectal Tumor in 3D MRI Using 3D Multiscale Densely Connected Convolutional Neural Network
Mumtaz Hussain Soomro et al.
JOURNAL OF HEALTHCARE ENGINEERING (2019)
RNN-based longitudinal analysis for diagnosis of Alzheimer's disease
Ruoxuan Cui et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2019)
A deep neural network improves endoscopic detection of early gastric cancer without blind spots
Lianlian Wu et al.
ENDOSCOPY (2019)
Prostate cancer detection using residual networks
Helen Xu et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2019)
NQA: A Nested Anti-collision Algorithm for RFID Systems
Xiaokang Wang et al.
ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS (2019)
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
M. Mohammed Thaha et al.
JOURNAL OF MEDICAL SYSTEMS (2019)
Low-Cost, Disposable, Flexible, and Smartphone Enabled Pressure Sensor for Monitoring Drug Dosage in Smart Medicine Applications
Venkatarao Selamneni et al.
IEEE SENSORS JOURNAL (2019)
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network
Guilherme Aresta et al.
SCIENTIFIC REPORTS (2019)
An interpretable deep hierarchical semantic convolutional neural network for lung nodule malignancy classification
Shiwen Shen et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy
Yan Zhu et al.
GASTROINTESTINAL ENDOSCOPY (2019)
Detection of gastritis by a deep convolutional neural network from double-contrast upper gastrointestinal barium X-ray radiography
Ren Togo et al.
JOURNAL OF GASTROENTEROLOGY (2019)
Automated pulmonary nodule detection in CT images using deep convolutional neural networks
Hongtao Xie et al.
PATTERN RECOGNITION (2019)
3D fully convolutional network-based segmentation of lung nodules in CT images with a clinically inspired data synthesis method
Atsushi Yaguchi et al.
MEDICAL IMAGING 2019: COMPUTER-AIDED DIAGNOSIS (2019)
An Adaptive Image Contrast Enhancement Technique for Low-Contrast Images
Awais Mahmood et al.
IEEE ACCESS (2019)
Segmentation of pathological liver tissue with Dilated Fully Convolutional Networks: A Preliminary Study
Jessica C. Delmoral et al.
2019 6TH IEEE PORTUGUESE MEETING IN BIOENGINEERING (ENBENG) (2019)
An Improved Deep Computation Model Based on Canonical Polyadic Decomposition
Qingchen Zhang et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2018)
Privacy-Preserving Double-Projection Deep Computation Model With Crowdsourcing on Cloud for Big Data Feature Learning
Qingchen Zhang et al.
IEEE INTERNET OF THINGS JOURNAL (2018)
Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images
Junming Jian et al.
AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE (2018)
Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network
Odelin Charron et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2018)
Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
Toshiaki Hirasawa et al.
GASTRIC CANCER (2018)
An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics
Qingchen Zhang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
Xiaomeng Li et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images Based on an End-to-End Deep Neural Network
Zhiwei Wang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
High-order possibilistic c-means algorithms based on tensor decompositions for big data in IoT
Qingchen Zhang et al.
INFORMATION FUSION (2018)
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
Xiaomei Zhao et al.
MEDICAL IMAGE ANALYSIS (2018)
Generating synthetic CTs from magnetic resonance images using generative adversarial networks
Hajar Emami et al.
MEDICAL PHYSICS (2018)
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies
Babak Ehteshami Bejnordi et al.
MODERN PATHOLOGY (2018)
Binary convolutional neural network features off-the-shelf for image to video linking in endoscopic multimedia databases
Stefan Petscharnig et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
Segmentation of glioma tumors in brain using deep convolutional neural network
Saddam Hussain et al.
NEUROCOMPUTING (2018)
A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks
Rafael Ceschin et al.
NEUROIMAGE (2018)
Multi-view multi-scale CNNs for lung nodule type classification from CT images
Xinglong Liu et al.
PATTERN RECOGNITION (2018)
Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker
Ruikai Zhang et al.
PATTERN RECOGNITION (2018)
High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection
Angel Cruz-Roa et al.
PLOS ONE (2018)
An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network
Hongyang Jiang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2018)
Abnormal breast identification by nine-layer convolutional neural network with parametric rectified linear unit and rank-based stochastic pooling
Yu-Dong Zhang et al.
JOURNAL OF COMPUTATIONAL SCIENCE (2018)
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Freddie Bray et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2018)
Identification of Uterine Fibroids using Enhanced Image Mining Techniques: Bio-inspired Xenogenetic Based Extreme Learning Neural Network Classification with Improved Fireflies Hausdorff Distance
D. Sasikumar et al.
CURRENT MEDICAL IMAGING (2018)
NODULe: Combining constrained multi-scale LoG filters with densely dilated 3D deep convolutional neural network for pulmonary nodule detection
Junjie Zhang et al.
NEUROCOMPUTING (2018)
Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing
Grzegorz Chlebus et al.
SCIENTIFIC REPORTS (2018)
Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs
Yu Gu et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2018)
Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks
Guotai Wang et al.
BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2017 (2018)
Using YOLO based deep learning network for real time detection and localization of lung nodules from low dose CT scans
Sindhu S. Ramachandran et al.
MEDICAL IMAGING 2018: COMPUTER-AIDED DIAGNOSIS (2018)
Adaptive Weighted Averaged Template Matching Prediction for Intra Coding
Yi Zhang et al.
2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) (2018)
Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks
Yohan Sumathipala et al.
JOURNAL OF MEDICAL IMAGING (2018)
The design of an m-Health monitoring system based on a cloud computing platform
Boyi Xu et al.
ENTERPRISE INFORMATION SYSTEMS (2017)
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection
Qi Dou et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2017)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
Waseem Rawat et al.
NEURAL COMPUTATION (2017)
A survey of deep neural network architectures and their applications
Weibo Liu et al.
NEUROCOMPUTING (2017)
Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification
Wei Shen et al.
PATTERN RECOGNITION (2017)
Wearable Sensors for Remote Health Monitoring
Sumit Majumder et al.
SENSORS (2017)
Automatic Detection and Classification of Colorectal Polyps by Transferring Low-Level CNN Features From Nonmedical Domain
Ruikai Zhang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis
Stergios Christodoulidis et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images
Satoki Shichijo et al.
EBIOMEDICINE (2017)
Gastric precancerous diseases classification using CNN with a concise model
Xu Zhang et al.
PLOS ONE (2017)
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
Angel Cruz-Roa et al.
SCIENTIFIC REPORTS (2017)
Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning
Kenny H. Cha et al.
SCIENTIFIC REPORTS (2017)
Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning
Xinggang Wang et al.
SCIENTIFIC REPORTS (2017)
Transfer Learning for Colonic Polyp Classification Using Off-the-Shelf CNN Features
Eduardo Ribeiro et al.
COMPUTER-ASSISTED AND ROBOTIC ENDOSCOPY (2017)
Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score
Oscar Jimenez-del-Toro et al.
MEDICAL IMAGING 2017: DIGITAL PATHOLOGY (2017)
Two-phase deep convolutional neural network for reducing class skewness in histopathological images based breast cancer detection
Noorul Wahab et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices
Mostafa Haghi et al.
HEALTHCARE INFORMATICS RESEARCH (2017)
Deep Computation Model for Unsupervised Feature Learning on Big Data
Qingchen Zhang et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING (2016)
Application and Exploration of Big Data Mining in Clinical Medicine
Yue Zhang et al.
CHINESE MEDICAL JOURNAL (2016)
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
Sergio Pereira et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network
Marios Anthimopoulos et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
A CNN Regression Approach for Real-Time 2D/3D Registration
Shun Miao et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks
Arnaud Arindra Adiyoso Setio et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images
Shadi Albarqouni et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
A hybrid solution for privacy preserving medical data sharing in the cloud environment
Ji-Jiang Yang et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2015)
Quantitative Computed Tomography Imaging Biomarkers in the Diagnosis and Management of Lung Cancer
Hyungjin Kim et al.
INVESTIGATIVE RADIOLOGY (2015)
Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box
Francesco Ciompi et al.
MEDICAL IMAGE ANALYSIS (2015)
Information and communications technologies for elderly ubiquitous healthcare in a smart home
M. Jamal Deen
PERSONAL AND UBIQUITOUS COMPUTING (2015)
Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012
Jacques Ferlay et al.
INTERNATIONAL JOURNAL OF CANCER (2015)
Fast R-CNN
Ross Girshick
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Lung Nodule Detection using 3D Convolutional Neural Networks Trained on Weakly Labeled Data
Rushil Anirudhi et al.
MEDICAL IMAGING 2016: COMPUTER-AIDED DIAGNOSIS (2015)
Walking-Age Analyzer for Healthcare Applications
Bo Jin et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2014)
Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
Hoo-Chang Shin et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Smart wearable systems: Current status and future challenges
Marie Chan et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2012)
Why Quasi-Monte Carlo is Better Than Monte Carlo or Latin Hypercube Sampling for Statistical Circuit Analysis
Amith Singhee et al.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS (2010)