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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

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This two-volume set LNCS 12962 and 12963 constitutes the thoroughly refereed proceedings of the 7th International MICCAI Brainlesion Workshop, BrainLes 2021, as well as the RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge, the Federated Tumor Segmentation (FeTS) Challenge, the Cross-Modality Domain Adaptation (CrossMoDA) Challenge, and the challenge on Quantification of Uncertainties in Biomedical Image Quantification (QUBIQ). These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in September 2021. The 91 revised papers presented in these volumes were selected form 151 submissions. Due to COVID-19 pandemic the conference was held virtually. This is an open access book.

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Keywords

  • artificial intelligence
  • Bioinformatics
  • Computer science
  • Computer systems
  • Computer vision
  • Education
  • Image analysis
  • Image processing
  • image segmentation
  • Learning
  • Machine learning
  • medical images
  • neural networks
  • pattern recognition
  • segmentation methods
  • Software design
  • Software engineering
  • software quality
  • thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
  • thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
  • thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
  • thema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing
  • Validation
  • verification and validation

Links

DOI: 10.1007/978-3-031-08999-2

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