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

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

M. Jorge Cardoso and Others
    • $54.99
    • $54.99

Publisher 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.

GENRE
Computers & Internet
RELEASED
2017
September 7
LANGUAGE
EN
English
LENGTH
404
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
11
MB

More Books Like This

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
Biomedical Image Registration Biomedical Image Registration
2020
Image and Graphics Image and Graphics
2021
Cancer Prevention Through Early Detection Cancer Prevention Through Early Detection
2022

More Books by M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer Syeda-Mahmood, João Manuel R.S. Tavares, Mehdi Moradi, Andrew Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis & Zhi Lu

Domain Adaptation and Representation Transfer Domain Adaptation and Representation Transfer
2023
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health
2022
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning
2021
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health
2021
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning
2020
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
2019