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Deep Generative Models: Lecture Notes in Computer Science, cartea 13609

Editat de Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan
en Limba Engleză Paperback – 8 oct 2022
This book constitutes the refereed proceedings of the Second MICCAI Workshop on Deep Generative Models, DG4MICCAI 2022, held in conjunction with MICCAI 2022, in September 2022. The workshops took place in Singapore. 

DG4MICCAI 2022 accepted 12 papers from the 15 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.

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Specificații

ISBN-13: 9783031185755
ISBN-10: 3031185757
Pagini: 140
Ilustrații: X, 127 p. 44 illus., 36 illus. in color.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.22 kg
Ediția:1st edition 2022
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Methods.- Applications.- Methodology. Causal inference. Latent interpretation. Generative factor analysis.- Mammography. Vessel imaging.- Surgical Videos.