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Clinical image-based procedures = 11...
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CLIP (Workshop) (2022 :)
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Clinical image-based procedures = 11th Workshop CLIP 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Clinical image-based procedures/ edited by Yufei Chen ... [et al.].
Reminder of title:
11th Workshop CLIP 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022 : proceedings /
remainder title:
CLIP 2022
other author:
Chen, Yufei.
corporate name:
CLIP (Workshop)
Published:
Cham :Springer Nature Switzerland : : 2023.,
Description:
viii, 91 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Diagnostic imaging - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-031-23179-7
ISBN:
9783031231797
Clinical image-based procedures = 11th Workshop CLIP 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022 : proceedings /
Clinical image-based procedures
11th Workshop CLIP 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022 : proceedings /[electronic resource] :CLIP 2022edited by Yufei Chen ... [et al.]. - Cham :Springer Nature Switzerland :2023. - viii, 91 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,137461611-3349 ;. - 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.
ISBN: 9783031231797
Standard No.: 10.1007/978-3-031-23179-7doiSubjects--Topical Terms:
879904
Diagnostic imaging
--Congresses.
LC Class. No.: RC78.7.D53
Dewey Class. No.: 616.0754
Clinical image-based procedures = 11th Workshop CLIP 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022 : proceedings /
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11th Workshop CLIP 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022 : proceedings /
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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.
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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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based on 0 review(s)
Location:
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電子資源
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Items
1 records • Pages 1 •
1
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Opac note
Attachments
W9451898
電子資源
11.線上閱覽_V
電子書
EB RC78.7.D53
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