@inproceedings{c00157b79af04853afe01c0388ccb75d,
title = "Formula-Driven Data Augmentation and Partial Retinal Layer Copying for Retinal Layer Segmentation",
abstract = "Major retinal layer segmentation methods from OCT images assume that the retina is flattened in advance, and thus cannot always deal with retinas that have changes in retinal structure due to ophthalmopathy and/or curvature due to myopia. To eliminate the use of flattening in retinal layer segmentation for practicality of such methods, we propose novel data augmentation methods for OCT images. Formula-driven data augmentation (FDDA) emulates a variety of retinal structures by vertically shifting each column of the OCT images according to a given mathematical formula. We also propose partial retinal layer copying (PRLC) that copies a part of the retinal layers and pastes it into a region outside the retinal layers. Through experiments using the OCT MS and Healthy Control dataset and the Duke Cyst DME dataset, we demonstrate that the use of FDDA and PRLC makes it possible to detect the boundaries of retinal layers without flattening even retinal layer segmentation methods that assume flattening of the retina.",
keywords = "data augmentation, OCT, retinal layer, segmentation",
author = "Tsubasa Konno and Takahiro Ninomiya and Kanta Miura and Koichi Ito and Noriko Himori and Parmanand Sharma and Toru Nakazawa and Takafumi Aoki",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 11th International Workshop on Ophthalmic Medical Image Analysis, OMIA-XI 2024 was held in conjunction with the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024 ; Conference date: 10-10-2024 Through 10-10-2024",
year = "2025",
doi = "10.1007/978-3-031-73119-8_14",
language = "English",
isbn = "9783031731181",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "136--145",
editor = "Antony Bhavna and Hao Chen and Huihui Fang and Huazhu Fu and Lee, {Cecilia S.}",
booktitle = "Ophthalmic Medical Image Analysis - 11th International Workshop, OMIA 2024, Held in Conjunction with MICCAI 2024, Proceedings",
address = "Germany",
}