Weakly supervised image segmentation beyond tight bounding box annotations.
Comput. Biol. Medicine, February, 2024
CDRNet: accurate cup-to-disc ratio measurement with tight bounding box supervision in fundus photography using deep learning.
Multim. Tools Appl., May, 2023
Polar Transformation Based Multiple Instance Learning Assisting Weakly Supervised Image Segmentation With Loose Bounding Box Annotations.
CoRR, 2022
Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography.
CoRR, 2021
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Simultaneous Diagnosis of Severity and Features of Diabetic Retinopathy in Fundus Photography Using Deep Learning.
IEEE J. Biomed. Health Informatics, 2020
A Simplified Cohen's Kappa for Use in Binary Classification Data Annotation Tasks.
IEEE Access, 2019
Feasibility of Diagnosing Both Severity and Features of Diabetic Retinopathy in Fundus Photography.
IEEE Access, 2019
Relationships of Cohen's Kappa, Sensitivity, and Specificity for Unbiased Annotations.
Proceedings of the 4th International Conference on Biomedical Signal and Image Processing, 2019