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Deutsch, English, Nederlands, Norsk, Português, <mais...>
semi-supervised learning

Palavras-chave relacioandas:


  • 3D Network
  • 3D U-Net Author Keywords Segmentation
  • algorithms
  • Annotation Process
  • Annotations
  • Benchmark testing
  • case-based retrieval
  • Challenge Participants
  • Common Benchmark
  • computed tomography MeSH Terms Cone-Beam Computed Tomography
  • Cone-beam Computed Tomography Images
  • Cone-beam Computed Tomography Volume
  • crowdsourcing
  • Data Augmentation
  • Deep Learning
  • Deep Neural Network
  • Dice Loss
  • Dice Similarity Coefficient
  • Domain Dataset
  • EEE Keywords Three-dimensional displays
  • Final Ranking
  • Focal Loss
  • Humans
  • image classification
  • image segmentation
  • Imaging
  • Inferior Alveolar Canal
  • Inferior Alveolar Nerve
  • Intersection Over Union
  • Irrigation
  • Mandible
  • Mandibular Canal
  • Medical Experts
  • Mental Foramen
  • Neural Network
  • Panoramic Radiographs
  • Private Dataset
  • Proposals Index Terms Inferior Alveolar
  • Public Datasets
  • Sparse Labeling
  • Statistical Shape Model
  • Surgery
  • Teeth
  • Three-Dimensional
  • tooth
  • training
  • Training Data
  • Training Set
  • X-ray imaging

Publicações para palavra-chave semi-supervised learning
2025
Federico Bolelli, Luca Lumetti, Lisheng Wang, Marek Wodzinski, Henning Müller, Klaus Maier-Hain, Bram van Ginneken and Costantino Grana, Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge (2025), in: IEEE Transactions on Medical Imaging, Volume 44, Issue : 4, Arpil 2025(1890-1906)
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[DOI]
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2015
Alba García Seco de Herrera, Dimitrios Markonis, Ranveer Joyseeree, Roger Schaer, Antonio Foncubierta-Rodríguez and Henning Müller, Semi–Supervised Learning for Image Modality Classification, in: ECIR workshop MRMD, Vienna, Austria, 2015
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tempo de processamento: 0.3825 segundos.