A deep learning algorithm using contrast-enhanced computed tomography (CT) images for segmentation and rapid automatic detection of aortic dissectionDeep learning algorithmContrast-enhanced CT imagesSegmentation and detection of aortic dissectionAortic dissection (AD) is one of the most common aortic ...
Wang S, Kang B, Ma J et al (2021) A deep learning algorithm using CT images to screen for Corona Virus disease (COVID-19). Eur Radiol 31:1–9. https://doi.org/10.1007/s00330-021-07715-1 Article Google Scholar Khan MA, Hussain N, Majid A, Alhaisoni M, Bukhari SA, Kadry S...
A deep learning algorithm using ct images to screen for corona virus disease (covid-19) medRxiv (2020), 10.1101/2020.02.14.20023028 Google Scholar [14] E. Soares, P. Angelov, S. Biaso, M.H. Froes, D.K. Abe Sars-cov-2 ct-scan dataset: a large dataset of real patients ct scans ...
we translated the GT annotations for each frame according to the shift vectors produced by the motion correction algorithm implemented when building the relative EMPs (see “Methods
The K-mean clustering segmentation algorithm was used to segment the cancer regions in 3 MRI and 3 CT images. The surface area of the cancer regions were evaluated using the algorithm and compared with the radiologist performance. The relative difference of algorithm and radiologists ranges from ...
This work proposed a novel deep registration pipeline for 3D CT and 2D U/S kidney scans of free breathing, which consists of a feature network, and a 3D-2D CNN-based registration network. The feature network has handcraft texture feature layers to reduce the semantic gap. The registration net...
Deep learning has been widely used for medical image segmentation and a large number of papers has been presented recording the success of deep learning in the field. A comprehensive thematic survey on medical image segmentation using deep learning techniques is presented. This paper makes two origin...
The objective of this work is to provide a fast scanning method for in situ µCT tests on CMCs with complex microstructures by the innovation of a reconstruction algorithm. Method To overcome the severe degradation of the reconstructed image quality resulting from sparse CT scans, a deep-learni...
A deep learning algorithm using ct images to screen for corona virus disease (covid-19) medRxiv (2020) Google Scholar [37] L. Wang, A. Wong Covid-net: a tailored deep convolutional neural network design for detection of covid-19 cases from chest radiography images arXiv Preprint arXiv:...
A deep learning algorithm using ct images to screen for corona virus disease (covid-19) Eur. Radiol. (2021), pp. 1-9 View PDFView articleGoogle Scholar [49] I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, Y. Bengio Generative adversa...