Enabling a Single Deep Learning Model for Accurate Gland Instance Segmentation: A Shape-aware Adversarial Learning Framework.
IEEE Transactions on Medical Imaging(2020)
摘要
Segmenting gland instances in histology images is highly challenging as it requires not only detecting glands from a complex background but also separating each individual gland instance with accurate boundary detection. However, due to the boundary uncertainty problem in manual annotations, pixel-to-pixel matching based loss functions are too restrictive for simultaneous gland detection and bound...
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关键词
Glands,Image segmentation,Uncertainty,Shape,Deep learning,Training,Shape measurement
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