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Found 2 papers, 1 papers with code
Multi-encoder parse-decoder network for sequential medical image segmentation
We aim on enhancing medical image segmentation by using spatial continuity information in a proposed Multi-Encoder Parse-Decoder Network (MEPDNet) based on the fact that most of the medical images are sampled continuously.
Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation
Furthermore, We have also introduced the concept of Inverse FGSM (InvFGSM), which works in the opposite manner of FGSM for the data augmentation.
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