Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kevin Makowski"'
Autor:
Adrian Krenzer, Kevin Makowski, Amar Hekalo, Daniel Fitting, Joel Troya, Wolfram G. Zoller, Alexander Hann, Frank Puppe
Publikováno v:
BioMedical Engineering OnLine, Vol 21, Iss 1, Pp 1-23 (2022)
Abstract Background Machine learning, especially deep learning, is becoming more and more relevant in research and development in the medical domain. For all the supervised deep learning applications, data is the most critical factor in securing succ
Externí odkaz:
https://doaj.org/article/9bb60f9ba4e24448b4c5e16b850475d9
Autor:
Adrian Krenzer, Michael Banck, Kevin Makowski, Amar Hekalo, Daniel Fitting, Joel Troya, Boban Sudarevic, Wolfgang G. Zoller, Alexander Hann, Frank Puppe
Publikováno v:
Journal of Imaging, Vol 9, Iss 2, p 26 (2023)
Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist searches for polyps. However, there is a potential risk of polyps being
Externí odkaz:
https://doaj.org/article/940370f62c22471eb7372b5619375279
Autor:
Adrian Krenzer, Michael Banck, Kevin Makowski, Amar Hekalo, Daniel Fitting, Joel Troya, Boban Sudarevic, Wolfram G. Zoller, Alexander Hann, Frank Puppe
Background: Colorectal cancer (CRC) is still a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is a colonoscopy. During this procedure, the colonoscopist searches for polyps. However, there is a potential risk of poly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::984a2fad706c48f8e0989135eec4ac15
https://doi.org/10.21203/rs.3.rs-1310139/v1
https://doi.org/10.21203/rs.3.rs-1310139/v1
Autor:
Frank Puppe, Alexander Hann, Kevin Makowski, Amar Hekalo, Wolfram G. Zoller, Daniel Fitting, Joel Troya, Adrian Krenzer
Background Machine learning, especially deep learning, is becoming more and more relevant in research and development in the medical domain. For all the supervised deep learning applications, data is the most critical factor in securing successful im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e86a1e43718da2fcb32b547a5833220
https://doi.org/10.21203/rs.3.rs-776478/v1
https://doi.org/10.21203/rs.3.rs-776478/v1
Publikováno v:
MIE
A semi-automatic tool for fast and accurate annotation of endoscopic videos utilizing trained object detection models is presented. A novel workflow is implemented and the preliminary results suggest that the annotation process is nearly twice as fas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d8a75f09ab62400da761afefabd3ed5
https://doi.org/10.3233/shti210206
https://doi.org/10.3233/shti210206
Publikováno v:
Studies in health technology and informatics. 281
A semi-automatic tool for fast and accurate annotation of endoscopic videos utilizing trained object detection models is presented. A novel workflow is implemented and the preliminary results suggest that the annotation process is nearly twice as fas
Autor:
Sajjad Reza, Richard Hund, Frank Kustas, William Willcockson, Jarvis Songer, Kevin Makowski, Glen Brown
Publikováno v:
19th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar.
Forward Attached Inflatable Decelerators, more commonly known as inflatable aeroshells, provide an effective, cost efficient means of decelerating spacecrafts by using atmospheric drag for aerocapture or planetary entry instead of conventional liquid