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Patch-Based Semantic Segmentation for Detecting Arterioles and Venules in Epifluorescence Imagery.

, , , , and . AIPR, page 1-5. IEEE, (2018)

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Random forests for dura mater microvasculature segmentation using epifluorescence images., , , , , , , and . EMBC, page 2901-2904. IEEE, (2016)Multiscale tensor anisotropic filtering of fluorescence microscopy for denoising microvasculature., , , , , and . ISBI, page 540-543. IEEE, (2015)Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation., , , , , , and . EMBC, page 4735-4738. IEEE, (2014)Microvasculature segmentation of arterioles using deep CNN., , , , , and . ICIP, page 580-584. IEEE, (2017)Confocal vessel structure segmentation with optimized feature bank and random forests., , , , , and . AIPR, page 1-6. IEEE Computer Society, (2016)Interactive Global Mosaic Stitching from Mesentery Video Sequences., , , , and . AIPR, page 1-5. IEEE, (2020)Ensemble of Deep Learning Cascades for Segmentation of Blood Vessels in Confocal Microscopy Images., , , and . AIPR, page 1-7. IEEE, (2021)Multiquadric spline-based interactive segmentation of vascular networks., , , , , , , and . EMBC, page 5913-5916. IEEE, (2016)Deep U-Net Regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation., , , , , and . ICIP, page 1445-1449. IEEE, (2019)Patch-Based Semantic Segmentation for Detecting Arterioles and Venules in Epifluorescence Imagery., , , , and . AIPR, page 1-5. IEEE, (2018)