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Imaging Systems for GI Endoscopy, an...
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ISGIE (Workshop) (2022 :)
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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 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis/ edited by Luigi Manfredi ... [et al.].
其他題名:
first MICCAI Workshop, ISGIE 2022, and fourth MICCAI Workshop, GRAIL 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022 : proceedings /
其他題名:
ISGIE 2022
其他作者:
Manfredi, Luigi.
團體作者:
ISGIE (Workshop)
出版者:
Cham :Springer Nature Switzerland : : 2022.,
面頁冊數:
xii, 129 p. :ill. (chiefly color), digital ;24 cm.
內容註:
Imaging Systems for GI Endoscopy -- Light Adaptation for Classification 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 Classification -- TaG-Net: Topology-aware Graph Network for Vessel Labeling -- Transforming connectomes to "any" parcellation via graph matching.
Contained By:
Springer Nature eBook
標題:
Gastrointestinal system - Congresses. - Examination -
電子資源:
https://doi.org/10.1007/978-3-031-21083-9
ISBN:
9783031210839
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 /
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 /[electronic resource] :ISGIE 2022edited by Luigi Manfredi ... [et al.]. - Cham :Springer Nature Switzerland :2022. - xii, 129 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,137540302-9743 ;. - Lecture notes in computer science ;13754..
Imaging Systems for GI Endoscopy -- Light Adaptation for Classification 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 Classification -- TaG-Net: Topology-aware Graph Network for Vessel Labeling -- Transforming connectomes to "any" parcellation via graph matching.
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.
ISBN: 9783031210839
Standard No.: 10.1007/978-3-031-21083-9doiSubjects--Topical Terms:
3611388
Gastrointestinal system
--Examination--Congresses.
LC Class. No.: RC804.E6
Dewey Class. No.: 616.3307545
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 /
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Imaging Systems for GI Endoscopy -- Light Adaptation for Classification 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 Classification -- TaG-Net: Topology-aware Graph Network for Vessel Labeling -- Transforming connectomes to "any" parcellation via graph matching.
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