Learning to Address Intra-segment Misclassification in Retinal Imaging

25 April 2021

Papers citing "Learning to Address Intra-segment Misclassification in Retinal Imaging"

4 / 4 papers shown

Title
GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains Zixuan Liu Aaron Honjaya Yuekai Xu Yi Zhang Hefu Pan Xin Wang Linda Shapiro Sheng Wang Ruikang K Wang OOD 50 0 0 08 Mar 2025
Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling Jonathan Fhima Jan Van Eijgen Lennert Beeckmans Thomas Jacobs Moti Freiman Luis Filipe Nakayama Ingeborg Stalmans Chaim Baskin Joachim A. Behar MedIm 69 0 0 03 Mar 2025
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends Duy M. Nguyen Hasan Md Tusfiqur Alam T. Nguyen Devansh Srivastav H. Profitlich Ngan Le Daniel Sonntag 39 2 0 07 Jan 2025
Towards a glaucoma risk index based on simulated hemodynamics from fundus images J. Orlando J. Barbosa-Breda K. V. Keer Matthew B. Blaschko P. Blanco C. Bulant 53 79 0 25 May 2018