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Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis: First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings 1st ed. 2022 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 129 pages, height x width: 235x155 mm, weight: 232 g, 34 Illustrations, color; 1 Illustrations, black and white; XII, 129 p. 35 illus., 34 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13754
  • Izdošanas datums: 10-Dec-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031210824
  • ISBN-13: 9783031210822
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Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis: First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings 1st ed. 2022Palielināt
  • Formāts: Paperback / softback, 129 pages, height x width: 235x155 mm, weight: 232 g, 34 Illustrations, color; 1 Illustrations, black and white; XII, 129 p. 35 illus., 34 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13754
  • Izdošanas datums: 10-Dec-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031210824
  • ISBN-13: 9783031210822
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031210822.html
Keywords:
This book constitutes the refereed proceedings of the first MICCAI Workshop, ISGIE 2022, Imaging Systems for GI Endoscopy, and the Fourth MICCAI Workshop, GRAIL 2022, GRaphs in biomedicAL Image and analysis, held in conjunction with MICCAI 2022, Singapore, September 18, 2022.

ISGIE 2022 accepted 6 papers from the 8 submissions received.This workshop focuses on novel scientific contributions to vision systems, imaging algorithms as well as the autonomous system for endorobot for GI endoscopy. This includes lesion and lumen detection, as well as 3D reconstruction of the GI tract and hand-eye coordination.

 GRAIL 2022 accepted 6 papers from the 10 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.

Imaging Systems for GI Endoscopy.- Light Adaptation for Classication of
the Upper Gastrointestinal Sites.- Criss-Cross Attention based Multi-Level
Fusion Network for Gastric Intestinal Metaplasia Segmentation.- Colonoscopy
Landmark Detection using Vision Transformers.- Real-Time Lumen Detection for
Autonomous Colonoscopy.- SuperPoint Features in Endoscopy.- Estimating the
Coverage in 3D Reconstructions of the Colon from Colonoscopy Videos.- Graphs
in Biomedical Image Analysis.- Modular Graph Encoding and Hierarchical
Readout for Functional Brain Network based eMCI Diagnosis.- Bayesian Filtered
Generation of Post-surgical Brain Connectomes on Tumor Patients.- Deep
Cross-Modality and Resolution Graph Integration for Universal Brain
Connectivity Mapping and Augmentation.- Using Hierarchically Connected Nodes
and Multiple GNN Message Passing Steps to Increase the Contextual Information
in Cell-Graph Classication.- TaG-Net: Topology-aware Graph Network for
Vessel Labeling.- Transforming connectomes to any parcellation via graph
matching.