Published on in Vol 24, No 1 (2022): January
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/34415, first published
.
![A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation](https://asset.jmir.pub/assets/ca67046e9f9d5508fdce67ae58d0d261.png 480w,https://asset.jmir.pub/assets/ca67046e9f9d5508fdce67ae58d0d261.png 960w,https://asset.jmir.pub/assets/ca67046e9f9d5508fdce67ae58d0d261.png 1920w,https://asset.jmir.pub/assets/ca67046e9f9d5508fdce67ae58d0d261.png 2500w)
Journals
- Теплякова А, Старков С. APPLICATION OF COMPUTER VISION FOR DIAGNOSTICS OF NOSOLOGICAL UNITS ON MEDICAL IMAGES. Южно-Сибирский научный вестник 2022;(4(44)):134 View
- Farajollahi M, Safarian M, Hatami M, Esmaeil Nejad A, Peters O. Applying artificial intelligence to detect and analyse oral and maxillofacial bone loss—A scoping review. Australian Endodontic Journal 2023;49(3):720 View
- Lee Y, Shin H, Kim J, Lee J. A Convolutional Neural Network for Classification of Stimuli Based on Stretchable Mechanical Sensor. IEEE Sensors Journal 2023;23(17):20338 View
- Sun J, Li H, Liu Z, Wang S, Peng Y. Impact of reconstruction algorithms on the success rate and quality of automatic airway segmentation in children under ultra-low-dose chest CT scanning. International Journal of Radiation Research 2024;22(1):171 View
Books/Policy Documents
- Przybyszewski E, Simon T, Chung R. Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases. View