소장자료
LDR | 04353nam a22006495i 4500 | ||
001 | 0100795163▲ | ||
003 | DE-He213▲ | ||
005 | 20240304112449▲ | ||
007 | cr nn 008mamaa▲ | ||
008 | 230109s2023 sz | s |||| 0|eng d▲ | ||
020 | ▼a9783031231797▼9978-3-031-23179-7▲ | ||
024 | 7 | ▼a10.1007/978-3-031-23179-7▼2doi▲ | |
050 | 4 | ▼aTA1634▲ | |
082 | 0 | 4 | ▼a006.37▼223▲ |
245 | 1 | 0 | ▼aClinical Image-Based Procedures▼h[electronic resource] :▼b11th Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /▼cedited by Yufei Chen, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura.▲ |
250 | ▼a1st ed. 2023.▲ | ||
264 | 1 | ▼aCham :▼bSpringer Nature Switzerland :▼bImprint: Springer,▼c2023.▲ | |
300 | ▼aVIII, 91 p. 41 illus., 35 illus. in color.▼bonline resource.▲ | ||
336 | ▼atext▼btxt▼2rdacontent▲ | ||
337 | ▼acomputer▼bc▼2rdamedia▲ | ||
338 | ▼aonline resource▼bcr▼2rdacarrier▲ | ||
347 | ▼atext file▼bPDF▼2rda▲ | ||
490 | 1 | ▼aLecture Notes in Computer Science,▼x1611-3349 ;▼v13746▲ | |
505 | 0 | ▼aFast 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.▲ | |
520 | ▼aThis 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. .▲ | ||
650 | 0 | ▼aComputer vision.▲ | |
650 | 0 | ▼aMachine learning.▲ | |
650 | 0 | ▼aSocial sciences▼xData processing.▲ | |
650 | 0 | ▼aUser interfaces (Computer systems).▲ | |
650 | 0 | ▼aHuman-computer interaction.▲ | |
650 | 0 | ▼aMedical informatics.▲ | |
650 | 1 | 4 | ▼aComputer Vision.▲ |
650 | 2 | 4 | ▼aMachine Learning.▲ |
650 | 2 | 4 | ▼aComputer Application in Social and Behavioral Sciences.▲ |
650 | 2 | 4 | ▼aUser Interfaces and Human Computer Interaction.▲ |
650 | 2 | 4 | ▼aHealth Informatics.▲ |
700 | 1 | ▼aChen, Yufei.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aLinguraru, Marius George.▼eeditor.▼0(orcid)0000-0001-6175-8665▼1https://orcid.org/0000-0001-6175-8665▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aShekhar, Raj.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aWesarg, Stefan.▼eeditor.▼0(orcid)0000-0002-2073-6010▼1https://orcid.org/0000-0002-2073-6010▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aErdt, Marius.▼eeditor.▼0(orcid)0000-0002-1033-5205▼1https://orcid.org/0000-0002-1033-5205▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aDrechsler, Klaus.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aOyarzun Laura, Cristina.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
710 | 2 | ▼aSpringerLink (Online service)▲ | |
773 | 0 | ▼tSpringer Nature eBook▲ | |
776 | 0 | 8 | ▼iPrinted edition:▼z9783031231780▲ |
776 | 0 | 8 | ▼iPrinted edition:▼z9783031231803▲ |
830 | 0 | ▼aLecture Notes in Computer Science,▼x1611-3349 ;▼v13746▲ | |
856 | 4 | 0 | ▼uhttps://doi.org/10.1007/978-3-031-23179-7▲ |

Clinical Image-Based Procedures[electronic resource] : 11th Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
자료유형
국외eBook
서명/책임사항
Clinical Image-Based Procedures [electronic resource] : 11th Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings / edited by Yufei Chen, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura.
개인저자
판사항
1st ed. 2023.
형태사항
VIII, 91 p. 41 illus., 35 illus. in color. online resource.
총서사항
Lecture Notes in Computer Science , 1611-3349 ; 13746
Lecture Notes in Computer Science , 1611-3349 ; 13746
Lecture Notes in Computer Science , 1611-3349 ; 13746
내용주기
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.
요약주기
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. .
주제
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.
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.
ISBN
9783031231797
관련 인기대출 도서