Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation

27 Aug 2019 • Junlin Yang • Nicha C. Dvornek • Fan Zhang • Juntang Zhuang • Julius Chapiro • MingDe Lin • James S. Duncan

Domain Adaptation (DA) has the potential to greatly help the generalization of deep learning models. However, the current literature usually assumes to transfer the knowledge from the source domain to a specific known target domain... (read more)

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METHOD	TYPE
Interpretability	Image Models
Batch Normalization	Normalization
Residual Connection	Skip Connections
PatchGAN	Discriminators
ReLU	Activation Functions
Tanh Activation	Activation Functions
Residual Block	Skip Connection Blocks
Instance Normalization	Normalization
Convolution	Convolutions
Leaky ReLU	Activation Functions
Sigmoid Activation	Activation Functions
GAN Least Squares Loss	Loss Functions
Cycle Consistency Loss	Loss Functions
CycleGAN	Generative Models

METHOD

TYPE

Interpretability