Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 1st ed. 2019 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I Image Processing, Computer Vision, Pattern Recognition, and Graphics Series
Coordonnateurs : Crimi Alessandro, Bakas Spyridon, Kuijf Hugo, Keyvan Farahani, Reyes Mauricio, van Walsum Theo
This two-volume set LNCS 11383 and 11384 constitutes revised selected papers from the 4th International MICCAI Brainlesion Workshop, BrainLes 2018, as well as the International Multimodal Brain Tumor Segmentation, BraTS, Ischemic Stroke Lesion Segmentation, ISLES, MR Brain Image Segmentation, MRBrainS18, Computational Precision Medicine, CPM, and Stroke Workshop on Imaging and Treatment Challenges, SWITCH, which were held jointly at the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI, in Granada, Spain, in September 2018.
The 92 papers presented in this volume were carefully reviewed and selected from 95 submissions. They were organized in topical sections named: brain lesion image analysis; brain tumor image segmentation; ischemic stroke lesion image segmentation; grand challenge on MR brain segmentation; computational precision medicine; stroke workshop on imaging and treatment challenges.
Brain lesion image analysis.-Brain tumor image segmentation.- Ischemic stroke lesion image segmentation.- Grand challenge on MR brain segmentation.- Computational precision medicine.- Stroke workshop on imaging and treatment challenges.
Date de parution : 01-2019
Ouvrage de 477 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; automatic segmentations; classification; computer architecture; computer vision; cross-validation; decision trees; estimation; image analysis; image processing; image reconstruction; image segmentation; machine learning; medical images; medical imaging; neural networks; pattern recognition; segmentation methods; Support Vector Machines (SVM); wireless networks