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Machine Learning in Medical Imaging
Chunfeng Lian, Xuanang Xu og 3 andre
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Del av serien Lecture Notes in Computer Science
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Redigert av Anirban Mukhopadhyay, Yuan Xue, Yixuan Yuan, Sharon Xiaolei Huang, Sandy Engelhardt, Raphael Sznitman, Nicholas Heller, Ilkay Oksuz, Hien Nguyen, Dajiang Zhu, 2021.Del av serien Lecture Notes in Computer Science.
First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.
DG4MICCAI 2021 accepted 12 papers from the 17 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community.
For DALI 2021, 15 papers from 32 submissions were accepted for publication. They focus on rigorous study of medical data related to machine learning systems.
PocketEngelsk
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Redigert av Anirban Mukhopadhyay, Yuan Xue, Yixuan Yuan, Sharon Xiaolei Huang, Sandy Engelhardt, Raphael Sznitman, Nicholas Heller, Ilkay Oksuz, Hien Nguyen, Dajiang Zhu, 2021.Del av serien Lecture Notes in Computer Science.
First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.
DG4MICCAI 2021 accepted 12 papers from the 17 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community.
For DALI 2021, 15 papers from 32 submissions were accepted for publication. They focus on rigorous study of medical data related to machine learning systems.
Normalpris: 749,-
674,-
Spar 75,-
PocketEngelsk
Ved å fullføre kjøpet aksepterer jeg kjøpsvilkårene.
Ikke tilgjengelig for Klikk&Hent
På nettlager. Bestilles fra England. Leveres normalt innen 5-8 virkedager.
674,-
Ved å fullføre kjøpet aksepterer du kjøpsvilkårene.
