Clinical Image-Based Procedures 11th Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings / [electronic resource] :
edited by Yufei Chen, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura.
- 1st ed. 2023.
- VIII, 91 p. 41 illus., 35 illus. in color. online resource.
- Lecture Notes in Computer Science, 13746 1611-3349 ; .
- Lecture Notes in Computer Science, 13746 .
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. .
9783031231797
10.1007/978-3-031-23179-7 doi
Computer vision.
Machine learning.
Social sciences--Data processing.
User interfaces (Computer systems).
Human-computer interaction.
Medical informatics.
Computer Vision.
Machine Learning.
Computer Application in Social and Behavioral Sciences.
User Interfaces and Human Computer Interaction.
Health Informatics.
TA1634
006.37
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. .
9783031231797
10.1007/978-3-031-23179-7 doi
Computer vision.
Machine learning.
Social sciences--Data processing.
User interfaces (Computer systems).
Human-computer interaction.
Medical informatics.
Computer Vision.
Machine Learning.
Computer Application in Social and Behavioral Sciences.
User Interfaces and Human Computer Interaction.
Health Informatics.
TA1634
006.37