Machine Learning in Urology
We have developed machine learning, deep learning, and AI tools for studies of kidney diseases, including kidney image segmentation and pattern classification algorithms.
- Zheng Q, Warner S, Tasian G, Fan Y. A Dynamic Graph Cuts Method with Integrated Multiple Feature Maps for Segmenting Kidneys in 2D Ultrasound Images. Acad Radiol. 2018 Sep;25(9):1136-1145. doi: 10.1016/j.acra.2018.01.004. Epub 2018 Feb 12. PMID: 29449144; PMCID: PMC6087676.
- Zheng Q, Furth SL, Tasian GE, Fan Y. Computer-aided diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data by integrating texture image features and deep transfer learning image features. J Pediatr Urol. 2019 Feb;15(1):75.e1-75.e7. doi: 10.1016/j.jpurol.2018.10.020. Epub 2018 Oct 31. PMID: 30473474; PMCID: PMC6410741.
- Yin S, Peng Q, Li H, Zhang Z, You X, Fischer K, Furth SL Tasian GE, Fan Y, Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks. Med Image Anal. 2020 Feb;60:101602. doi: 10.1016/j.media.2019.101602. Epub 2019 Nov 8. PMID: 31760193
- Yin S, Peng Q, Li H, Zhang Z, You X, Liu H, Fischer K, Furth SL, Tasian GE, Fan Y. Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging. Uncertain Safe Util Machine Learn Med Imaging Clin Image Based Proced (2019). 2019 Oct;11840:146-154. doi: 10.1007/978-3-030-32689-0_15. Epub 2019 Oct 7. PMID: 31893285; PMCID: PMC6938161.
- Yin S, Peng Q, Li H, Zhang Z, You X, Fischer K, Furth SL, Fan Y, Tasian GE. Multi-instance Deep Learning of Ultrasound Imaging Data for Pattern Classification of Congenital Abnormalities of the Kidney and Urinary Tract in Children. Urology. 2020 Aug;142:183-189. doi: 10.1016/j.urology.2020.05.019. Epub 2020 May 20. PMID: 32445770; PMCID: PMC7387180.
- John K Weaver, Karen Milford, Mandy Rickard, Joey Logan, Lauren Erdman, Bernarda Viteri, Neeta D'Souza, Andy Cucchiara, Marta Skreta, Daniel Keefe, Salima Shah, Antoine Selman, Katherine Fischer, Dana A Weiss, Christopher J Long, Armando Lorenzo, Yong Fan, Greg E Tasian: Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves. Pediatr Nephrol. 2022 Jul 22. Epub ahead of print. PMID: 35867160. Doi: https://doi.org/10.1007/s00467-022-05677-0