Automated segmentation of dermal fillers in OCT images of mice using convolutional neural networks

• المؤلفون الرئيسيون: Pfister, Martin, Schützenberger, Kornelia, Pfeiffenberger, Ulrike, Messner, Alina, Chen, Zhe, Puchner, Stefan, Garhöfer, Gerhard, Schmetterer, Leopold, Gröschl, Martin, Werkmeister, René M., Aranha dos Santos, Valentin
• مؤلفون آخرون: Lee Kong Chian School of Medicine (LKCMedicine)
• التنسيق: مقال
• اللغة: English
• منشور في: 2019
• الموضوعات: Convolutional Neural Network; Optical Coherence Tomography; Science::Medicine
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/86177; http://hdl.handle.net/10220/49858

We present a system for automatic determination of the intradermal volume of hydrogels based on optical coherence tomography (OCT) and deep learning. Volumetric image data was acquired using a custom-built OCT prototype that employs an akinetic swept laser at ~1310 nm with a bandwidth of 87 nm, prov...