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22 produkter
22 produkter
1 238 kr
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Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Covers common research problems in medical image analysis and their challenges Describes deep learning methods and the theories behind approaches for medical image analysis Teaches how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Includes a Foreword written by Nicholas Ayache
1 226 kr
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Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis.Covers common research problems in medical image analysis and their challengesDescribes the latest deep learning methods and the theories behind approaches for medical image analysisTeaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment· Includes a Foreword written by Nicholas Ayache
1 213 kr
Kommande
Del 11045 - Lecture Notes in Computer Science
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
Häftad, Engelska, 2018
556 kr
Skickas inom 10-15 vardagar
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.
Del 11840 - Lecture Notes in Computer Science
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures
First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Häftad, Engelska, 2019
540 kr
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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.
Del 11797 - Lecture Notes in Computer Science
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Häftad, Engelska, 2019
540 kr
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This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.The 7 full papers presented at iMIMIC 2019 and the 3 full papers presented at ML-CDS 2019 were carefully reviewed and selected from 10 submissions to iMIMIC and numerous submissions to ML-CDS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.
Del 12445 - Lecture Notes in Computer Science
Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures
10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings
Häftad, Engelska, 2020
540 kr
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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.
Del 13050 - Lecture Notes in Computer Science
Multimodal Learning for Clinical Decision Support
11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
Häftad, Engelska, 2021
593 kr
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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.
Del 14221 - Lecture Notes in Computer Science
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part II
Häftad, Engelska, 2023
1 146 kr
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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; Part VII: Clinical applications – abdomen; Part VIII: Clinical applications – neuroimaging;
Del 14222 - Lecture Notes in Computer Science
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part III
Häftad, Engelska, 2023
1 146 kr
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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; Part VII: Clinical applications – abdomen; Part VIII: Clinical applications – neuroimaging;
Del 14223 - Lecture Notes in Computer Science
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part IV
Häftad, Engelska, 2023
1 146 kr
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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; Part VII: Clinical applications – abdomen; Part VIII: Clinical applications – neuroimaging;
Del 14224 - Lecture Notes in Computer Science
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part V
Häftad, Engelska, 2023
1 250 kr
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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; Part VII: Clinical applications – abdomen; Part VIII: Clinical applications – neuroimaging;
Del 14220 - Lecture Notes in Computer Science
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part I
Häftad, Engelska, 2023
939 kr
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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; Part VII: Clinical applications – abdomen; Part VIII: Clinical applications – neuroimaging;
Del 14225 - Lecture Notes in Computer Science
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part VI
Häftad, Engelska, 2023
1 250 kr
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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; Part VII: Clinical applications – abdomen; Part VIII: Clinical applications – neuroimaging;
Del 14226 - Lecture Notes in Computer Science
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part VII
Häftad, Engelska, 2023
1 146 kr
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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; Part VII: Clinical applications – abdomen; Part VIII: Clinical applications – neuroimaging;
Del 14227 - Lecture Notes in Computer Science
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part VIII
Häftad, Engelska, 2023
1 043 kr
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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; Part VII: Clinical applications – abdomen; Part VIII: Clinical applications – neuroimaging;
Del 14228 - Lecture Notes in Computer Science
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part IX
Häftad, Engelska, 2023
1 022 kr
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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; clinicalapplications – 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."Semantic Segmentation of Surgical Hyperspectral Images Under Geometric Domain Shifts" is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.
Del 14229 - Lecture Notes in Computer Science
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part X
Häftad, Engelska, 2023
1 443 kr
Skickas inom 10-15 vardagar
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; clinicalapplications – 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.
Del 15401 - Lecture Notes in Computer Science
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops
LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6–10, 2024, Proceedings
Häftad, Engelska, 2025
721 kr
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This book constitutes the proceedings from the workshops LDTM 2024, MMMI/ML4MHD 2024, and ML-CDS 2024 which were held in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024.The papers included in this book stem from the following workshops:- LDTM 2024, Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and Data, which accepted 13 papers from 15 submissions. - MMMI/ML4MHD 2024, the 5th International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, and the First Workshop on Machine Learning for Multimodal/-sensor Healthcare Data, ML4MHD2024, from which 8 papers are included from a total of 14 submissions to the workshop- ML-CDS 2024, Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, which accepted 4 papers out of 5 submissions
Del 10553 - Lecture Notes in Computer Science
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, Proceedings
Häftad, Engelska, 2017
696 kr
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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.
Medical Content-Based Retrieval for Clinical Decision Support
Second MICCAI International Workshop, MCBR-CDS 2011, Toronto, Canada, September 22, 2011, Revised Selected Papers
Häftad, Engelska, 2012
556 kr
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This book constitutes the refereed proceedings of the Second MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2011, held in Toronto, Canada, in September 2011.The 11 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 17 submissions. The papers are divided on several topics on medical image retrieval with textual approaches, visual word based approaches, applications and multidimensional retrieval.
Medical Content-Based Retrieval for Clinical Decision Support
Third MICCAI International Workshop, MCBR-CDS 2012, Nice, France, October 1st, 2012, Revised Selected Papers
Häftad, Engelska, 2013
512 kr
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This book constitutes the refereed proceedings of the Third MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2012, held in Nice, France, in October 2012.The 10 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 15 submissions. The papers are divided on several topics on image analysis of visual or multimodal medical data (X-ray, MRI, CT, echo videos, time series data), machine learning of disease correlations in visual or multimodal data, algorithms for indexing and retrieval of data from visual or multimodal medical databases, disease model-building and clinical decision support systems based on visual or multimodal analysis, algorithms for medical image retrieval or classification, systems of retrieval or classification using the ImageCLEF collection.