Goyanes, ElenaMoura, Joaquim deFernández-Vigo, José IgnacioFernández-Vigo, José A.Novo Buján, JorgeOrtega Hortas, Marcos2024-12-042024-12-042024E. Goyanes, J. de Moura, J. I. Fernández-Vigo, J. A. Fernández-Vigo, J. Novo, M. Ortega, "Deep Learning-based approaches for Ciliary Muscle Segmentation and Biomarker Extraction", XX Conferencia de la Asociación Española para la Inteligencia Artificial, A Coruña, 19 - 21 de Junio de 2024 (CAEPIA 2024), EasyChair Preprint, n. 13710, https://easychair.org/publications/preprint/bSqQhttp://hdl.handle.net/2183/40480Presentado en: XX Conferencia de la Asociación Española para la Inteligencia Artificial, A Coruña, 19 - 21 de Junio de 2024 (CAEPIA 2024)[Abstract]: This paper highlights our recently published work that involves the application of deep learning techniques to perform the segmentation of the ciliary muscle in Anterior Segment Optical Coherence Tomography (AS-OCT) images. The ciliary muscle is vital for various anterior segment of the eye functions, including intraocular pressure regulation and lens shape maintenance. To advance research, we propose a fully automatic method for segmenting and measuring ciliary muscle biomarkers in 6 mm and 16 mm scan depths, commonly used in clinical analysis. Our approach ensures repeatable and immediate results through thorough exploration of artificial intelligence approaches combining different network architectures, encoders, data augmentation and transfer learning strategies. Additionally, we extract relevant biomarkers, aiding in diagnoses and monitoring of ocular diseases such as glaucoma, myopia, and presbyopia, and facilitating the development of new therapeutic strategies. With high accuracy values (0.9665 ± 0.1280 and 0.9772 ± 0.0873 for the best 6 mm and 16 mm combinations, respectively), our system provides clinicians and researchers with a valuable, automatic tool for ciliary muscle segmentation and analysis in AS-OCT images.engAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/AS-OCTCAD systemCiliary muscleSegmentationBiomarkersDeep learningconference outputopen access