Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net

19 Apr 2019 Yunze Man Yangsibo Huang Junyi Feng Xi Li Fei Wu

Segmentation of pancreas is important for medical image analysis, yet it faces great challenges of class imbalance, background distractions and non-rigid geometrical features. To address these difficulties, we introduce a Deep Q Network(DQN) driven approach with deformable U-Net to accurately segment the pancreas by explicitly interacting with contextual information and extract anisotropic features from pancreas... (read more)

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