Clinical Image-Based Procedures - 11th Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

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. 

List of 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 andEstimation 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 RetinalImages for Clinical Diagnostics Support.

Product details

• Assisted by: Yufei Chen (Editor), Klaus Drechsler (Editor), Marius Erdt (Editor), Marius George Linguraru (Editor), Marius George Linguraru (Editor), Cristina Oyarzun Laura (Editor), Raj Shekhar (Editor), Raj Shekhar et al (Editor), Stefan Wesarg (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 10.01.2023
• EAN: 9783031231780
• ISBN: 978-3-0-3123178-0
• No. of pages: 91
• Dimensions: 155 mm x 5 mm x 235 mm
• Illustrations: VIII, 91 p. 41 illus., 35 illus. in color.
• Series: Lecture Notes in Computer Science
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software