Fully Automated Deep Learning System for Bone Age Assessment.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 427, doi. 10.1007/s10278-017-9955-8
- By:
- Publication type:
- Article
Works matching IS 0897-1889 AND VI 30 AND IP 4 AND DT 2017
Results: 15
1
2
Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 406, doi. 10.1007/s10278-017-9945-x
- By:
- Publication type:
- Article
3
Toolkits and Libraries for Deep Learning.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 400, doi. 10.1007/s10278-017-9965-6
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- Publication type:
- Article
4
Medical Image Data and Datasets in the Era of Machine Learning-Whitepaper from the 2016 C-MIMI Meeting Dataset Session.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 392, doi. 10.1007/s10278-017-9976-3
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- Publication type:
- Article
5
Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 442, doi. 10.1007/s10278-017-9978-1
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- Publication type:
- Article
6
Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 460, doi. 10.1007/s10278-017-9980-7
- By:
- Publication type:
- Article
7
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 449, doi. 10.1007/s10278-017-9983-4
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- Publication type:
- Article
8
Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 469, doi. 10.1007/s10278-017-9984-3
- By:
- Publication type:
- Article
9
A Semi-automated Approach to Improve the Efficiency of Medical Imaging Segmentation for Haptic Rendering.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 519, doi. 10.1007/s10278-017-9985-2
- By:
- Publication type:
- Article
10
Computerized Prediction of Radiological Observations Based on Quantitative Feature Analysis: Initial Experience in Liver Lesions.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 506, doi. 10.1007/s10278-017-9987-0
- By:
- Publication type:
- Article
11
Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 487, doi. 10.1007/s10278-017-9988-z
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- Publication type:
- Article
12
Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 499, doi. 10.1007/s10278-017-9993-2
- By:
- Publication type:
- Article
13
Machine Learning: Discovering the Future of Medical Imaging.
- Published in:
- 2017
- By:
- Publication type:
- Editorial
14
Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 477, doi. 10.1007/s10278-017-9997-y
- By:
- Publication type:
- Article
15
Computerized Classification of Pneumoconiosis on Digital Chest Radiography Artificial Neural Network with Three Stages.
- Published in:
- Journal of Digital Imaging, 2017, v. 30, n. 4, p. 413, doi. 10.1007/s10278-017-9942-0
- By:
- Publication type:
- Article