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

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

Danail Stoyanov und andere
    • 42,99 €
    • 42,99 €

Beschreibung des Verlags

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.

GENRE
Computer und Internet
ERSCHIENEN
2018
19. September
SPRACHE
EN
Englisch
UMFANG
404
Seiten
VERLAG
Springer International Publishing
GRÖSSE
74,3
 MB

Mehr ähnliche Bücher

Deep Generative Models, and Data Augmentation, Labelling, and Imperfections Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
2021
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis
2019
Computer Analysis of Images and Patterns Computer Analysis of Images and Patterns
2021
Image and Graphics Image and Graphics
2021
Biomedical Image Registration Biomedical Image Registration
2020
Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges
2020

Mehr Bücher von Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer Syeda-Mahmood, Anne Martel, Lena Maier-Hein, João Manuel R.S. Tavares, Andrew Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan & Anant Madabhushi

Data Engineering in Medical Imaging Data Engineering in Medical Imaging
2023
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
2020
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
2020
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
2020
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
2020
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
2020