Computational methods and clinical applications in musculoskeletal imaging : 5th International Workshop, MSKI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised selected papers /: 5th International Workshop, MSKI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised selected papers. (2018)
- Record Type:
- Book
- Title:
- Computational methods and clinical applications in musculoskeletal imaging : 5th International Workshop, MSKI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised selected papers /: 5th International Workshop, MSKI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised selected papers. (2018)
- Main Title:
- Computational methods and clinical applications in musculoskeletal imaging : 5th International Workshop, MSKI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised selected papers
- Other Titles:
- MSKI 2017
- Further Information:
- Note: Ben Glocker, Jianhua Yao, Tomaž Vrtovec, Alejandro Frangi, Guoyan Zheng (eds.).
- Editors:
- Glocker, Ben
(Manager of clinical image processing services), Yao, Jianhua
Vrtovec, Tomaž
Frangi, Alejandro F
Zheng, Guoyan - Other Names:
- MSKI (Workshop), 5th
- Contents:
- Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps -- Shape-aware Deep Convolutional Neural Network for Vertebrae Segmentation -- Automated Characterization of Body Composition and Frailty with Clinically Acquired CT -- Unfolded cylindrical projection for rib fracture diagnosis -- 3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density -- Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features -- Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients -- Reconstruction of 3D muscle fiber structure using high resolution cryosectioned volume -- Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model -- Attention-driven deep learning for pathological spine segmentation -- Automatic Full Femur Segmentation from Computed Tomography Datasets using an Atlas-Based Approach -- Classification of Osteoporotic Vertebral Fractures using Shape and Appearance Modelling -- DSMS-FCN: A Deeply Supervised Multi-Scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource (xii, 161 pages), illustrations
- Subjects:
- 616.7/0754
Computer science
Musculoskeletal system -- Imaging -- Congresses
Computer vision
Artificial intelligence
Computer Communication Networks
Musculoskeletal system -- Imaging
Computers -- Intelligence (AI) & Semantics
Computers -- Hardware -- Network Hardware
Artificial intelligence
Network hardware
Computers -- Computer Graphics
Image processing
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9783319741130
3319741136 - Related ISBNs:
- 9783319741123
3319741128 - Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed January 30, 2018).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.367047
- Ingest File:
- 02_345.xml