Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 1st ed. 2018 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings Image Processing, Computer Vision, Pattern Recognition, and Graphics Series
Coordonnateurs : Stoyanov Danail, Taylor Zeike, Carneiro Gustavo, Syeda-Mahmood Tanveer, Martel Anne, Maier-Hein Lena, Tavares João Manuel R.S., Bradley Andrew, Papa João Paulo, Belagiannis Vasileios, Nascimento Jacinto C., Lu Zhi, Conjeti Sailesh, Moradi Mehdi, Greenspan Hayit, Madabhushi Anant
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.
Date de parution : 09-2018
Ouvrage de 387 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
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Mots-clés :
artificial intelligence; classification; computer vision; data security; estimation; image analysis; image coding; image processing; image reconstruction; image segmentation; learning algorithms; medical images; medical imaging; motion estimation; neural networks; object recognition; segmentation methods; semi-supervised learning; signal processing; Support Vector Machines (SVM)