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MATCHING THE CHARACTERISTICS OF FUNDUS AND SMARTPHONE CAMERA IMAGESAuthors: Sukesh Adiga V,Jayanthi Sivaswamy Conference: IEEE International Symposium on Biomedical Imaging (ISBI-2019 2019) Location Hilton Molino Stucky, Venice Italy Date: 2019-04-08 Report no: IIIT/TR/2019/28 AbstractFundus imaging with a Smartphone camera (SC) is a cost-effective solution for the assessment of retina. However, imaging at high magnification and low light levels, results in loss of details, uneven illumination and noise especially in the peripheral region. We address these problems by matching the characteristics of images from SC to those from a regular fundus camera (FC) with an architecture called ResCycle-GAN. It is based on the CycleGAN with two significant changes: A residual connection is introduced to aid learning only the correction required; A structure similarity based loss function is used to improve the clarity of anatomical structures and pathologies. The proposed method can handle variations seen in normal and pathological images, acquired even without mydriasis, which is attractive in screening. The method produces consistently balanced results, outperforms CycleGAN both qualitatively and quantitatively, and has more pleasing results. Full paper: pdf Centre for Visual Information Technology |
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