Boulogne et al., 2024 - Google Patents
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private dataBoulogne et al., 2024
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- 4355520517382474749
- Author
- Boulogne L
- Lorenz J
- Kienzle D
- Schön R
- Ludwig K
- Lienhart R
- Jégou S
- Li G
- Chen C
- Wang Q
- Shi D
- Maniparambil M
- Müller D
- Mertes S
- Schröter N
- Hellmann F
- Elia M
- Dirks I
- Bossa M
- Berenguer A
- Mukherjee T
- Vandemeulebroucke J
- Sahli H
- Deligiannis N
- Gonidakis P
- Huynh N
- Razzak I
- Bouadjenek R
- Verdicchio M
- Borrelli P
- Aiello M
- Meakin J
- Lemm A
- Russ C
- Ionasec R
- Paragios N
- van Ginneken B
- Revel M
- Publication year
- Publication venue
- Medical Image Analysis
External Links
Snippet
Challenges drive the state-of-the-art of automated medical image analysis. The quantity of public training data that they provide can limit the performance of their solutions. Public access to the training methodology for these solutions remains absent. This study …
- 238000012549 training 0 title abstract description 135
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