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A Novel Domain Adaptation Framework for Medical Image Segmentation
[article]
2018
arXiv
pre-print
We propose a segmentation framework that uses deep neural networks and introduce two innovations. First, we describe a biophysics-based domain adaptation method. Second, we propose an automatic method to segment white and gray matter, and cerebrospinal fluid, in addition to tumorous tissue. Regarding our first innovation, we use a domain adaptation framework that combines a novel multispecies biophysical tumor growth model with a generative adversarial model to create realistic looking
arXiv:1810.05732v1
fatcat:3k2s34yh2nc6dgdql2lmrxal64