Application of a Convolutional Neural Network to kidney volume estimation

Authors :: Tibyampansha, D
Panholzer, T
Benning, N
Stern, F
Mildenberger, P
Jungmann, F
Source :: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 120 /20210226/
Publication Year :: 2021
Publisher :: German Medical Science GMS Publishing House, 2021.
Abstract: Background: Artificial Intelligence (AI) is quickly advancing and economizing many medical procedures. It is particularly powerful when applied to complex but standardized data, such as radiology images [ref:1]. We are applying AI to abdominal CT scans in order to segment the kidney and calculate[for full text, please go to the a.m. URL]<br />65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS)

Subjects :: ddc: 610
convolutional neural networks
kidney volume
610 Medical sciences
Medicine
artificial intelligence

Language :: English
Database :: OpenAIRE
Journal :: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 120 /20210226/
Accession number :: edsair.doi.dedup.....24b2a752aa84e8cb9b38d6ca5cd96d33
Full Text :: https://doi.org/10.3205/20gmds156