Automated segmentation of microvessels in intravascular OCT images using deep learning

no code implementations • 1 Oct 2022 • Juhwan Lee, Justin N. Kim, Lia Gomez-Perez, Yazan Gharaibeh, Issam Motairek, Ga-briel T. R. Pereira, Vladislav N. Zimin, Luis A. P. Dallan, Ammar Hoori, Sadeer Al-Kindi, Giulio Guagliumi, Hiram G. Bezerra, David L. Wilson

Data augmentation and pre-processing steps improved microvessel segmentation performance significantly, yielding a method with Dice of 0. 71+/-0. 10 and pixel-wise sensitivity/specificity of 87. 7+/-6. 6%/99. 8+/-0. 1%.

Data Augmentation Segmentation +2