Simulation and Synthesis in Medical Imaging

Beschreibung

This book constitutes the refereed proceedings of the 5th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.

The 19 full papers presented were carefully reviewed and selected from 27 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/PET/microscopy image synthesis, and several applications of image synthesis and simulation for data augmentation, image enhancement or segmentation.

Autor*in

Ninon Burgos

Themen in »Simulation and Synthesis in Medical Imaging«

image-based simulations image segmentation image enhancement data augmentation deep learning transfer learning convolutional neural networks generative adversarial networks artificial intelligence color image processing color images computer science computer systems computer vision digital image

Stimmen zu »Simulation and Synthesis in Medical Imaging«

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