Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures

Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures PDF Author: Tanveer Syeda-Mahmood
Publisher: Springer Nature
ISBN: 3030609464
Category : Computers
Languages : en
Pages : 147

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Book Description
This book constitutes the refereed joint proceedings of the 10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. The 4 full papers presented at ML-CDS 2020 and the 9 full papers presented at CLIP 2020 were carefully reviewed and selected from numerous submissions to ML-CDS and 10 submissions to CLIP. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.

Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures

Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures PDF Author: Tanveer Syeda-Mahmood
Publisher: Springer Nature
ISBN: 3030609464
Category : Computers
Languages : en
Pages : 147

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Book Description
This book constitutes the refereed joint proceedings of the 10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. The 4 full papers presented at ML-CDS 2020 and the 9 full papers presented at CLIP 2020 were carefully reviewed and selected from numerous submissions to ML-CDS and 10 submissions to CLIP. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support PDF Author: M. Jorge Cardoso
Publisher: Springer
ISBN: 9783319675572
Category : Computers
Languages : en
Pages : 385

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Book Description
This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Multimodal Learning for Clinical Decision Support

Multimodal Learning for Clinical Decision Support PDF Author: Tanveer Syeda-Mahmood
Publisher:
ISBN: 9783030898489
Category :
Languages : en
Pages : 0

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Book Description
This book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic. The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.

Machine Learning and Multi-Modal Image Analysis for Image-Guided Therapy and Clinical Decision Support

Machine Learning and Multi-Modal Image Analysis for Image-Guided Therapy and Clinical Decision Support PDF Author: Jennifer Nitsch
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description


Clinical Image-Based Procedures

Clinical Image-Based Procedures PDF Author: Klaus Drechsler
Publisher: Springer Nature
ISBN: 3031730836
Category :
Languages : en
Pages : 104

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Book Description


Medical Image Understanding and Analysis

Medical Image Understanding and Analysis PDF Author: Moi Hoon Yap
Publisher: Springer Nature
ISBN: 303166955X
Category :
Languages : en
Pages : 435

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Book Description


Breast Imaging

Breast Imaging PDF Author: Michael Fuchsjäger
Publisher: Springer Nature
ISBN: 3030949184
Category : Medical
Languages : en
Pages : 453

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Book Description
This superbly illustrated book provides a thorough, up-to-date overview of diagnostic breast imaging and therapy. Drs. Elizabeth Morris, Michael Fuchsjäger, and Thomas Helbich, three experts in the field, have collaborated with colleagues from their institutions and selected medical centers to share their expertise. The coverage ranges from basic information on imaging technologies and interventional equipment and how to use them optimally to the application of advanced high-end techniques for screening and assessment in any given professional environment. Readers will find clear instruction on the various breast interventional procedures guided by stereotaxis, ultrasound, and magnetic resonance imaging in wide clinical use. The management of patients with ductal carcinoma in situ and high-risk breast cancer is considered separately. Furthermore, the role of minimally invasive therapy is examined, and advice is provided on post-therapy evaluation, including breast implants. A comprehensive diagnostic atlas with hundreds of images completes this volume and addresses the spectrum of various clinical situations.

Multimodal Learning for Clinical Decision Support

Multimodal Learning for Clinical Decision Support PDF Author: Tanveer Syeda-Mahmood
Publisher: Springer Nature
ISBN: 3030898474
Category : Computers
Languages : en
Pages : 125

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Book Description
This book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic. The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.

Computer-Aided Oral and Maxillofacial Surgery

Computer-Aided Oral and Maxillofacial Surgery PDF Author: Jan Egger
Publisher: Academic Press
ISBN: 0128234237
Category : Computers
Languages : en
Pages : 284

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Book Description
Computer-Aided Oral and Maxillofacial Surgery: Developments, Applications, and Future Perspectives is an ideal resource for biomedical engineers and computer scientists, clinicians and clinical researchers looking for an understanding on the latest technologies applied to oral and maxillofacial surgery. In facial surgery, computer-aided decisions supplement all kind of treatment stages, from a diagnosis to follow-up examinations. This book gives an in-depth overview of state-of-the-art technologies, such as deep learning, augmented reality, virtual reality and intraoperative navigation, as applied to oral and maxillofacial surgery. It covers applications of facial surgery that are at the interface between medicine and computer science. Examples include the automatic segmentation and registration of anatomical and pathological structures, like tumors in the facial area, intraoperative navigation in facial surgery and its recent developments and challenges for treatments like zygomatic implant placement. - Provides comprehensive, state-of-the-art knowledge of interdisciplinary applications in facial surgery - Presents recent algorithmic developments like Deep Learning, along with recent devices in augmented reality and virtual reality - Includes clinical knowledge of two facials surgeons who give insights into the current clinical practice and challenges of facial surgeons in university hospitals in Austria and China

Dentofacial and Occlusal Asymmetries

Dentofacial and Occlusal Asymmetries PDF Author: Birte Melsen
Publisher: John Wiley & Sons
ISBN: 1119794838
Category : Medical
Languages : en
Pages : 468

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Book Description
Comprehensive and accessible resource that covers all crucial aspects of dentofacial and occlusal asymmetries Dentofacial and Occlusal Asymmetries covers all crucial aspects of asymmetries encountered in the stomatognathic region regarding diagnosis, treatment planning, management, and prognosis. Divided into three core sections, the first part focuses on the etiology of asymmetry and whether it is congenital or acquired through disease or trauma. The second and third sections go on to discuss localization and management, providing information on topics such as interception, correction, and camouflage. Specific sample topics covered in the book include: Treatment approaches: interceptive, tooth movements, goal-oriented biomechanics, and jaw repositioning Treatment principles: dentofacial orthopedics, camouflage, and orthodontic-surgical treatment Localization and problem list: medical and dental history, clinical examination, dental cast analysis, and radiographic/imaging assessment Medical, social and psychological aspects: growth disorders and helping children and their families with facial differences Written by a team of renowned experts in the field, Dentofacial and Occlusal Asymmetries will serve as an invaluable resource to postgraduates in orthodontic, pediatric dentistry, and oral and maxillofacial surgery programs as well as orthodontists, pediatric dentists, pediatricians, and oral and maxillofacial surgeons aiming for optimal results in the diagnosis and management of these complex malocclusions and dentofacial deformities.