Found: 28
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Implementing Digital Imaging in the Developing World.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 815, doi. 10.1007/s10278-020-00382-6
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- Article
Semantic Segmentation of White Matter in FDG-PET Using Generative Adversarial Network.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 816, doi. 10.1007/s10278-020-00321-5
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- Article
Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 826, doi. 10.1007/s10278-020-00322-4
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A Weak and Semi-supervised Segmentation Method for Prostate Cancer in TRUS Images.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 838, doi. 10.1007/s10278-020-00323-3
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- Article
An Embedded Multi-branch 3D Convolution Neural Network for False Positive Reduction in Lung Nodule Detection.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 846, doi. 10.1007/s10278-020-00326-0
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- Article
Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 858, doi. 10.1007/s10278-020-00330-4
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- Article
Combining multi-scale feature fusion with multi-attribute grading, a CNN model for benign and malignant classification of pulmonary nodules.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 869, doi. 10.1007/s10278-020-00333-1
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- Article
MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 879, doi. 10.1007/s10278-020-00336-y
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- Article
Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 888, doi. 10.1007/s10278-020-00341-1
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- Article
Prediction of Non-small Cell Lung Cancer Histology by a Deep Ensemble of Convolutional and Bidirectional Recurrent Neural Network.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 895, doi. 10.1007/s10278-020-00337-x
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- Article
Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 903, doi. 10.1007/s10278-020-00347-9
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- Article
Automatic Segmentation of Meniscus in Multispectral MRI Using Regions with Convolutional Neural Network (R-CNN).
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 916, doi. 10.1007/s10278-020-00329-x
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- Article
Surface Point Cloud Ultrasound with Transcranial Doppler: Coregistration of Surface Point Cloud Ultrasound with Magnetic Resonance Angiography for Improved Reproducibility, Visualization, and Navigation in Transcranial Doppler Ultrasound.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 930, doi. 10.1007/s10278-020-00328-y
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- Article
Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 937, doi. 10.1007/s10278-020-00332-2
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- Article
SUD-GAN: Deep Convolution Generative Adversarial Network Combined with Short Connection and Dense Block for Retinal Vessel Segmentation.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 946, doi. 10.1007/s10278-020-00339-9
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- Article
Skin Lesion Segmentation with Improved Convolutional Neural Network.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 958, doi. 10.1007/s10278-020-00343-z
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- Article
An Efficient Content-Based Image Retrieval System for the Diagnosis of Lung Diseases.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 971, doi. 10.1007/s10278-020-00338-w
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- Article
Framework for Extracting Critical Findings in Radiology Reports.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 988, doi. 10.1007/s10278-020-00349-7
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- Article
Overcoming Challenges for Successful PACS Installation in Low-Resource Regions: Our Experience in Nigeria.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 996, doi. 10.1007/s10278-020-00352-y
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- Article
Natural Language Processing in Dutch Free Text Radiology Reports: Challenges in a Small Language Area Staging Pulmonary Oncology.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 1002, doi. 10.1007/s10278-020-00327-z
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- Article
Rapid Design and Development of a Network Isolated DICOM Service Class Provider Device.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 1009, doi. 10.1007/s10278-020-00335-z
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Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 1016, doi. 10.1007/s10278-020-00334-0
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- Article
A Hybrid Reporting Platform for Extended RadLex Coding Combining Structured Reporting Templates and Natural Language Processing.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 1026, doi. 10.1007/s10278-020-00342-0
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- Article
Whole Slide Imaging (WSI) in Pathology: Current Perspectives and Future Directions.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 1034, doi. 10.1007/s10278-020-00351-z
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- Article
An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 1041, doi. 10.1007/s10278-020-00348-8
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- Article
Using Facebook Live to Advocate Breast Cancer Screening.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 1047, doi. 10.1007/s10278-020-00340-2
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Is a Picture Really Worth More than a Thousand Words? Which Instagram Post Types Elicit the Best Response for Radiology Education.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 1053, doi. 10.1007/s10278-020-00344-y
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So You Want to Develop an App for Radiology Education? What You Need to Know to Be Successful.
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- Journal of Digital Imaging, 2020, v. 33, n. 4, p. 1058, doi. 10.1007/s10278-020-00345-x
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- Article