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Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis

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Cover of 'Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Light Adaptation for Classification of the Upper Gastrointestinal Sites
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    Chapter 2 Criss-Cross Attention Based Multi-level Fusion Network for Gastric Intestinal Metaplasia Segmentation
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    Chapter 3 Colonoscopy Landmark Detection Using Vision Transformers
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    Chapter 4 Real-Time Lumen Detection for Autonomous Colonoscopy
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    Chapter 5 SuperPoint Features in Endoscopy
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    Chapter 6 Estimating the Coverage in 3D Reconstructions of the Colon from Colonoscopy Videos
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    Chapter 7 Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis
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    Chapter 8 Bayesian Filtered Generation of Post-surgical Brain Connectomes on Tumor Patients
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    Chapter 9 Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation
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    Chapter 10 Using Hierarchically Connected Nodes and Multiple GNN Message Passing Steps to Increase the Contextual Information in Cell-Graph Classification
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    Chapter 11 TaG-Net: Topology-Aware Graph Network for Vessel Labeling
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    Chapter 12 Transforming Connectomes to “Any” Parcellation via Graph Matching
Attention for Chapter 5: SuperPoint Features in Endoscopy
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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