2022
DOI: 10.48550/arxiv.2202.06505
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Opinions Vary? Diagnosis First!

Abstract: In medical image segmentation, images are usually annotated by several different clinical experts. This clinical routine helps to mitigate the personal bias. However, Computer Vision models often assume there has a unique ground-truth for each of the instance. This research gap between Computer Vision and medical routine is commonly existed but less explored by the current research. In this paper, we try to answer the following two questions: 1. How to learn an optimal combination of the multiple segmentation … Show more

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“…Recently, with a part of the various applications of deep neural networks [16,[32][33][34]36], Graph Convolutional Network (GCN) has shown outstanding performance on data clustering. GCN can extract high-level node representations, thus simplifying the sensitive discrimination step [35].…”
Section: Gcn On Clusteringmentioning
confidence: 99%
“…Recently, with a part of the various applications of deep neural networks [16,[32][33][34]36], Graph Convolutional Network (GCN) has shown outstanding performance on data clustering. GCN can extract high-level node representations, thus simplifying the sensitive discrimination step [35].…”
Section: Gcn On Clusteringmentioning
confidence: 99%