no code implementations • 28 Jan 2020 • Daniel C. Elton, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers
We next developed an algorithm which performs iterative instance segmentation and classification of the entire spine with a 3D U-Net.
no code implementations • 21 Aug 2019 • Yu-Xing Tang, You-Bao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers
In this work, we exploit the unsupervised domain adaptation problem for radiology image interpretation across domains.
Generative Adversarial Network Image-to-Image Translation +2
14 code implementations • 12 Aug 2019 • Ke Yan, You-Bao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
When reading medical images such as a computed tomography (CT) scan, radiologists generally search across the image to find lesions, characterize and measure them, and then describe them in the radiological report.
Ranked #7 on Medical Object Detection on DeepLesion
no code implementations • 30 Apr 2019 • Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu
In radiology, radiologists not only detect lesions from the medical image, but also describe them with various attributes such as their type, location, size, shape, and intensity.
3 code implementations • CVPR 2019 • Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
In radiologists' routine work, one major task is to read a medical image, e. g., a CT scan, find significant lesions, and describe them in the radiology report.