Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures: 10th International Workshop, ML-CDs 2020, and 9th International, Syeda-Mahmood Tanveer, Drechsler Klaus, Greenspan Hayit
Автор: Hayit Greenspan; Henning M?ller; Tanveer Syeda-Mah Название: Medical Content-Based Retrieval for Clinical Decision Support ISBN: 3642366775 ISBN-13(EAN): 9783642366772 Издательство: Springer Рейтинг: Цена: 6429.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Workshop Overview.- Overview of the Third Workshop on Medical Content-Based Retrieval for Clinical Decision Support (MCBR-CDS 2012).- Invited Talk.- A Polynomial Model of Surgical Gestures for Real-Time Retrieval of Surgery Videos.- Methods.- Exploiting 3D Part-Based Analysis, Description and Indexing to Support Medical Applications.- Skull Retrieval for Craniosynostosis Using Sparse Logistic Regression Models.- 3D/4D Data Retrieval.- Retrieval of 4D Dual Energy CT for Pulmonary Embolism Diagnosis.- Immediate ROI Search for 3-D Medical Images.- The Synergy of 3D SIFT and Sparse Codes for Classification of Viewpoints from Echocardiogram Videos.- Assessing the Classification of Liver Focal Lesions by Using Multi-phase Computer Tomography Scans.- Invited Talk.- VISCERAL: Towards Large Data in Medical Imaging - Challenges and Directions.- Visual Features.- Customised Frequency Pre-filtering in a Local Binary Pattern-Based Classification of Gastrointestinal Images.- Bag-of-Colors for Biomedical Document Image Classification.- Multimodal Retrieval.- An SVD-Bypass Latent Semantic Analysis for Image Retrieval.- Multimedia Retrieval in a Medical Image Collection: Results Using Modality Classes.
Описание: This book constitutes the refereed proceedings of the 9th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Portoroz, Slovenia, in June 2020.
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 Quebec 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.
Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2019).- Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification.- UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics.- Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis.- Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection.- Guideline-based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules.- Deep neural network or dermatologist?.- Towards Interpretability of Segmentation Networks by analyzing DeepDreams.- 9th International Workshop on Multimodal Learning for Clinical Decision Support (ML-CDS 2019).- Towards Automatic Diagnosis from Multi-modal Medical Data.- Deep Learning based Multi-Modal Registration for Retinal Imaging.- Automated Enriched Medical Concept Generation for Chest X-ray Images.
Описание: This book constitutes the refereed joint proceedings of the 4th International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2018, and the 8th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.The 39 full papers presented at DLMIA 2018 and the 4 full papers presented at ML-CDS 2018 were carefully reviewed and selected from 85 submissions to DLMIA and 6 submissions to ML-CDS. 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.
Описание: This book constitutes the revised selected papers from the 5th International Workshop on Clinical Image-Based Procedures, CLIP 2016, held in conjunction with MICCAI 2016 in Athens, Greece, in October 2016. The 10 papers presented in this volume were carefully reviewed and selected from 16 submissions.
Автор: Klaus Drechsler; Marius Erdt; Marius George Lingur Название: Clinical Image-Based Procedures. From Planning to Intervention ISBN: 3642380786 ISBN-13(EAN): 9783642380785 Издательство: Springer Рейтинг: Цена: 6429.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Clinical Image-based Procedures: From Planning to Intervention, CLIP 2012, held in Nice, France, in conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012.
Описание: This bookconstitutes revised selected papers from the 4th International Workshop onClinical Image-Based Procedures, CLIP 2015, held in conjunction with MICCAI2015 in Munich, Germany, in October 2015. therefore, the goal of the works presentedin this workshop is to bring basic research methods closer to the clinicalpractice.
Описание: This book constitutes revised selected papers from the Third International Workshop on Clinical Image-Based Procedures, CLIP 2014, held in conjunction with MICCAI 2014 in Boston, MA, USA, in September 2014.
Описание: This book constitutes revised selected papers from the International Workshop on Clinical Image-Based Procedures, CLIP 2013, held in conjunction with MICCAI 2012 in Nagoya, Japan, in September 2013.
Описание: This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.
Описание: This book constitutes the refereed joint proceedings of the First International Workshop on OR 2.0 Context-Aware Operating Theaters, OR 2.0 2018, 5th International Workshop on Computer Assisted Robotic Endoscopy, CARE 2018, 7th International Workshop on Clinical Image-Based Procedures, CLIP 2018, and the First International Workshop on Skin Image Analysis, ISIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 11 full papers presented at OR 2.0 2018, the 5 full papers presented at CARE 2018, the 8 full papers presented at CLIP 2018, and the 10 full papers presented at ISIC 2018 were carefully reviewed and selected.The OR 2.0 papers cover a wide range of topics such as machine vision and perception, robotics, surgical simulation and modeling, multi-modal data fusion and visualization, image analysis, advanced imaging, advanced display technologies, human-computer interfaces, sensors.The CARE papers cover topics to advance the field of computer-assisted and robotic endoscopy.The CLIP papers cover topics to fill gaps between basic science and clinical applications. The ISIC papers cover topics to facilitate knowledge dissemination in the field of skin image analysis, as well as to host a melanoma detection challenge, raising awareness and interest for these socially valuable tasks.
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