Elastic Deformation of Optical Coherence Tomography Images of Diabetic Macular Edema for Deep-Learning Models Training: How Far to Go?
Daniel Bar-DavidLaura Bar-DavidYinon ShapiraRina LeibuDalia DoriAseel GebaraRonit SchneorAnath FischerShiri SoudryPublished in: IEEE journal of translational engineering in health and medicine (2023)
Deformation of low-medium intensity ([Formula: see text] = 1-9) may be applied without compromising OCT image representativeness in DME. Clinical and Translational Impact Statement-Elastic deformation may efficiently augment the size, robustness, and diversity of training datasets without altering their clinical value, enhancing the development of high-accuracy algorithms for automated interpretation of OCT images.