Keywords: Myopia, Fundus Image, Deep Learning, Transfer Learning
Abstract: We present a summary of transfer learning based methods for several challenging myopic fundus image analysis tasks including classification of pathological and non-pathological myopia, localisation of fovea, and segmentation of optical disc. By adapting existing popular deep learning architectures, our proposed methods have achieved 1st and 2nd place in several tasks at the Pathologic Myopia Challenge (PALM) held at ISBI2019.
Code Of Conduct: I have read and accept the code of conduct.
Remove If Rejected: Remove submission from public view if paper is rejected.