Titlebook: Ophthalmic Medical Image Analysis; 8th International Wo Huazhu Fu,Mona K. Garvin,Yalin Zheng Conference proceedings 2021 Springer Nature Sw

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Adjacent Scale Fusion and Corneal Position Embedding for Corneal Ulcer Segmentation,ize prior information from the fluorescein staining images is a challenge. In this work, we propose and validate a novel method for corneal ulcer segmentation. Leveraging Adjacent Scale Fusion and Corneal Position Embedding, our method can effectively capture fine patterns of the corneal ulcer as we

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Longitudinal Detection of Diabetic Retinopathy Early Severity Grade Changes Using Deep Learning,ent-specific pathology management. However, traditional computer-aided diagnosis (CAD) systems for diabetic retinopathy (DR) rarely make use of longitudinal information to improve DR analysis. In this work, we present a deep information fusion framework that exploits two consecutive longitudinal stu

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,FARGO: A Joint Framework for FAZ and?RV Segmentation from OCTA Images,omical landmarks, namely foveal avascular zone (FAZ) and retinal vessels (RV). Studies have shown that both FAZ and RV play significant roles in the diagnoses of various eye-related diseases. Therefore, accurate segmentation of FAZ and RV from OCTA images is highly in need. However, due to complicat

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,CDLRS: Collaborative Deep Learning Model with Joint Regression and?Segmentation for Automatic Foveads to the urgent need of the computer-aided early screening system for vision examination, where the color fundus photography (CFP) is the most economical and noninvasive fundus examination of ophthalmology. The macula, whose center (i.e., fovea) is the most sensitive part of vision, is an important

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