Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy.
Medical Image Analysis(2018)
摘要
•Synthetically generated endoscopy data with ground truth depth.•An efficient joint CNN-CRF-based depth estimation architecture trained from synthetic endoscopy data.•Adversarial training for adapting the network trained on synthetic data to real data.•State-of-the-art endoscopy depth estimation performance.•Validation using registered views of CT and endoscopy data from a porcine colon.
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关键词
Endoscopy,Colonoscopy,Deep learning,Conditional random fields,Monocular depth estimation,Learned depth
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