Synthesizing Retinal and Neuronal Images with Generative Adversarial Nets
A broad range of biomedical images contain thin and long tubular-like foreground objects. They include tubular structured images of various modalities such as magnetic resonance angiography, x-ray angiography, retinal fundus images, as well as cellular neuronal images. Taking retinal fundus images as an example, topological and geometrical properties (Martinez-Perez et al., 2000) of the vessel structures provide valuable clinical information in diagnosing diseases such as proliferative diabetic retinopathy, glaucoma, and hypertensive retinopathy (Abramoff et al., 2010).
Source: Medical Image Analysis - Category: Radiology Authors: He Zhao, Huiqi Li, Sebastian Maurer-Stroh, Li Cheng Source Type: research
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