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A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal images.

, , , , , , and . Comput. Methods Programs Biomed., (2016)

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Exploiting Weak Shape Constraints to Segment Capillary Images in Microangiopathy., , and . MICCAI, volume 1935 of Lecture Notes in Computer Science, page 717-726. Springer, (2000)Dual-Model Automatic Detection of Nerve-Fibres in Corneal Confocal Microscopy Images., , , , and . MICCAI (1), volume 6361 of Lecture Notes in Computer Science, page 300-307. Springer, (2010)A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images Using Inaccurate Annotations., , , and . ISBI, page 456-460. IEEE, (2020)A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal images., , , , , , and . Comput. Methods Programs Biomed., (2016)A fully automated cell segmentation and morphometric parameter system for quantifying corneal endothelial cell morphology., , , , , , and . Comput. Methods Programs Biomed., (2018)Automatic Corneal Nerve Fibre Detection for Diabetic Neuropathy Quantification., , , , and . MIUA, page 345-350. BMVA, (2011)Network topology of NaV1.7 mutations in sodium channel-related painful disorders., , , , , , , , , and 27 other author(s). BMC Syst. Biol., 11 (1): 28:1-28:16 (2017)A machine learning model for early detection of diabetic foot using thermogram images., , , , , , , , , and . Comput. Biol. Medicine, (2021)Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques., , , , , , , , , and 3 other author(s). Sensors, 22 (5): 1793 (2022)