SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation

28 Feb 2019Yizhe ZhangLin YangHao ZhengPeixian LiangColleen MangoldRaquel G. LoretoDavid P. HughesDanny Z. Chen

Supervised training a deep neural network aims to "teach" the network to mimic human visual perception that is represented by image-and-label pairs in the training data. Superpixelized (SP) images are visually perceivable to humans, but a conventionally trained deep learning model often performs poorly when working on SP images... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.