Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"A generative flow-based model for volumetric data augmentation in 3D deep ..."

Tomoki Uemura et al. (2021)

> Home

Details and statistics

DOI: 10.1007/S11548-020-02275-Z

access: open

type: Journal Article

metadata version: 2021-10-14

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/cars/UemuraNRWKY21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cars/UemuraNRWKY21
Tomoki Uemura, Janne J. Näppi, Yasuji Ryu, Chinatsu Watari, Tohru Kamiya, Hiroyuki Yoshida:
A generative flow-based model for volumetric data augmentation in 3D deep learning for computed tomographic colonography. Int. J. Comput. Assist. Radiol. Surg. 16(1): 81-89 (2021)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.