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.

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


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.

Medical Image Understanding and Analysis

Medical Image Understanding and Analysis PDF Author: Moi Hoon Yap
Publisher: Springer Nature
ISBN: 303166955X
Category : Diagnostic imaging
Languages : en
Pages : 436

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Book Description
Zusammenfassung: This two-volume set LNCS 14859-14860 constitutes the proceedings of the 28th Annual Conference on Medical Image Understanding and Analysis, MIUA 2024, held in Manchester, UK, during July 24-26, 2024. The 59 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: Part I : Advancement in Brain Imaging; Medical Images and Computational Models; and Digital Pathology, Histology and Microscopic Imaging. Part II : Dental and Bone Imaging; Enhancing Low-Quality Medical Images; Domain Adaptation and Generalisation; and Dermatology, Cardiac Imaging and Other Medical Imaging

Proceedings of 2024 Chinese Intelligent Systems Conference

Proceedings of 2024 Chinese Intelligent Systems Conference PDF Author: Yingmin Jia
Publisher: Springer Nature
ISBN: 9819786584
Category :
Languages : en
Pages : 720

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Book Description


AI Methods and Applications in 3D Technologies

AI Methods and Applications in 3D Technologies PDF Author: Roumen Kountchev (Deceased)
Publisher: Springer Nature
ISBN: 981972144X
Category :
Languages : en
Pages : 398

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Book Description


Artificial Intelligence in Medicine

Artificial Intelligence in Medicine PDF Author: Lei Xing
Publisher: Academic Press
ISBN: 0128212586
Category : Medical
Languages : en
Pages : 570

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Book Description
Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. - Provides history and overview of artificial intelligence, as narrated by pioneers in the field - Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence - Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Quantification of Biophysical Parameters in Medical Imaging

Quantification of Biophysical Parameters in Medical Imaging PDF Author: Ingolf Sack
Publisher: Springer Nature
ISBN: 3031618467
Category :
Languages : en
Pages : 594

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Book Description


Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 PDF Author: Hayit Greenspan
Publisher: Springer Nature
ISBN: 3031439015
Category : Computers
Languages : en
Pages : 838

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Book Description
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.

Image Analysis and Processing - ICIAP 2023 Workshops

Image Analysis and Processing - ICIAP 2023 Workshops PDF Author: Gian Luca Foresti
Publisher: Springer Nature
ISBN: 3031510267
Category : Computers
Languages : en
Pages : 515

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Book Description
The two-volume set LNCS 14365 and 14366 constitutes the papers of workshops hosted by the 22nd International Conference on Image Analysis and Processing, ICIAP 2023, held in Udine, Italy, in September 2023. In total, 72 workshop papers and 10 industrial poster session papers have been accepted for publication. Part II of the set, volume 14366, contains 41 papers from the following workshops:– Medical Imaging Hub:• Artificial Intelligence and Radiomics in Computer-Aided Diagnosis (AIR-CAD)• Multi-Modal Medical Imaging Processing (M3IP)• Federated Learning in Medical Imaging and Vision (FedMed)– Digital Humanities Hub:• Artificial Intelligence for Digital Humanities (AI4DH)• Fine Art Pattern Extraction and Recognition (FAPER)• Pattern Recognition for Cultural Heritage (PatReCH)• Visual Processing of Digital Manuscripts: Workflows, Pipelines, BestPractices (ViDiScript)