Feb 14, 2022 · In this paper, we propose a novel strategy to fuse the multi-rater OD/OC segmentation labels via the glaucoma diagnosis performance.

Sep 16, 2022 · In this paper, we propose a novel strategy to fuse the multi-rater OD/OC segmentation labels via the glaucoma diagnosis performance.

This paper proposes a method for fundus image segmentation, which fuses multiple raters annotations by considering their respective expertness derived from a ...

With the advancement of deep learning techniques, an increasing number of methods have been proposed for optic disc and cup (OD/OC) segmentation from the ...

PDF | With the advancement of deep learning techniques, an increasing number of methods have been proposed for optic disc and cup (OD/OC) segmentation.

Experimental results show that by using DiagFirstGT as ground-truth, OD/OC segmentation networks will predict the masks with superior glaucoma diagnosis ...

In medical image segmentation, images are usually annotated by several different clinical experts. This clinical routine helps to mitigate the personal bias.

Opinions Vary? Diagnosis First! ... Authors: Junde Wu; Huihui Fang; Dalu Yang; Zhaowei Wang; Wenshuo Zhou; Fangxin Shang; Yehui Yang; Yanwu Xu. List of references.

Opinions Vary? Diagnosis First!: Paper and Code. In medical image segmentation, images are usually annotated by several different clinical experts.

This is a pytorch implementation of paper Opinions Vary? Diagnosis First! (MICCAI 2022) and its extention paper Calibrate the inter-observer segmentation ...