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Clinical Image-Based Procedures [electronic resource] : 11th Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 13746Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023Description: VIII, 91 p. 41 illus., 35 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031231797
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.37 23
LOC classification:
  • TA1634
Online resources:
Contents:
Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging -- Multi-channel Residual Neural Network Based on Squeeze-and Excitation for Osteoporosis Diagnosis -- Machine Learning Based Approach for Motion Detection and Estimation in Routinely Acquired Low Resolution Near Infrared Fluorescence Optical Imaging -- Automatic Landmark Identification on IntraOralScans -- STAU-Net: A Spatial Structure Attention Network for 3D Coronary Artery Segmentation -- Convolutional Redistribution Network for Multi-View Medical Image Diagnosis -- Feature Patch Based Attention Model for Dental Caries Classification -- Conditional Domain Adaptation Based on Initial Distribution Discrepancy for EEG Emotion Recognition -- Automated Cone and Vessel Analysis in Adaptive Optics like Retinal Images for Clinical Diagnostics Support.
In: Springer Nature eBookSummary: This book constitutes the proceedings of the 11th Workshop on Clinical Image-Based Procedures, CLIP 2022, which was held in conjunction with MICCAI 2022, in Singapore in September 2022. The 9 full papers included in this book were carefully reviewed and selected from 12 submissions. They focus on the applicability of basic research methods in the clinical practice by creating holistic patient models as an important step towards personalized healthcare. .
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Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging -- Multi-channel Residual Neural Network Based on Squeeze-and Excitation for Osteoporosis Diagnosis -- Machine Learning Based Approach for Motion Detection and Estimation in Routinely Acquired Low Resolution Near Infrared Fluorescence Optical Imaging -- Automatic Landmark Identification on IntraOralScans -- STAU-Net: A Spatial Structure Attention Network for 3D Coronary Artery Segmentation -- Convolutional Redistribution Network for Multi-View Medical Image Diagnosis -- Feature Patch Based Attention Model for Dental Caries Classification -- Conditional Domain Adaptation Based on Initial Distribution Discrepancy for EEG Emotion Recognition -- Automated Cone and Vessel Analysis in Adaptive Optics like Retinal Images for Clinical Diagnostics Support.

This book constitutes the proceedings of the 11th Workshop on Clinical Image-Based Procedures, CLIP 2022, which was held in conjunction with MICCAI 2022, in Singapore in September 2022. The 9 full papers included in this book were carefully reviewed and selected from 12 submissions. They focus on the applicability of basic research methods in the clinical practice by creating holistic patient models as an important step towards personalized healthcare. .

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