PALM: PathologicAL Myopia detection from retinal images

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PALM: PathologicAL Myopia detection from retinal images

2019

The PALM challenge focuses on investigation and development of algorithms associated with diagnosis of Pathologic Myopia (PM) and segmentation of lesions in fundus photos from PM patients. Myopia is currently the ocular disease with the highest morbidity. About 2 billion people have myopia in the world, 35% of which are high myopia. High myopia leads to elongation of axial length and thinning of retinal structures. With progression of the disease into PM, macular retinoschisis, retinal atrophy and even retinal detachment may occur, causing irreversible impairment to visual acuity. There are typical signs of PM in fundus photos, including atrophy, lacquer crack, etc. Neural networks can be trained to help screening and grading PM in large populations.

Technical Committee: Bio Imaging and Signal Processing

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