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"Improving the Reliability of Semantic Segmentation of Medical Images by ..."

Sora Iwamoto et al. (2021)

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DOI: 10.1007/978-3-030-87735-4_4

access: closed

type: Conference or Workshop Paper

metadata version: 2022-06-23

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  dblp key:
  - conf/miccai/IwamotoRTK21
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  - https://dblp.org/rec/conf/miccai/IwamotoRTK21
Sora Iwamoto, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda:
Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning. UNSURE/PIPPI@MICCAI 2021: 34-43

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