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Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys.

, , , , , , , , and . J. Digit. Imaging, 30 (4): 442-448 (2017)

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Integration of PACS image display with an electronic medical record., , and . Medical Imaging: Image Processing, volume 3031 of SPIE Proceedings, SPIE, (1997)Automatic segmentation of MR brain images in multiple sclerosis patients., and . Medical Imaging: Image Processing, volume 2710 of SPIE Proceedings, SPIE, (1996)Histogram transformation for improved compression of CT images., , , and . Medical Imaging: Image Processing, volume 3031 of SPIE Proceedings, SPIE, (1997)Reduction of unnecessary thyroid biopsies using deep learning., , , , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490W. SPIE, (2019)Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions., , , , and . J. Digit. Imaging, 30 (4): 449-459 (2017)Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys., , , , , , , , and . J. Digit. Imaging, 30 (4): 442-448 (2017)Real-Time Mutual-Information-Based Linear Registration on the Cell Broadband Engine Processor., , , , , , , , , and . ISBI, page 33-36. IEEE, (2007)The Best of Imaging Informatics Research 2015., and . AMIA, AMIA, (2015)Extraction of brain tissue from CT head images using fully convolutional neural networks., , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 1057420. SPIE, (2018)Improved classification accuracy by feature extraction using genetic algorithms., , and . Medical Imaging: Image Processing, volume 5032 of SPIE Proceedings, SPIE, (2003)