Aug. 12, 2022, 1:10 a.m. | Chelsea Myers-Colet, Julien Schroeter, Douglas L. Arnold, Tal Arbel

cs.LG updates on arXiv.org arxiv.org

In many clinical contexts, detecting all lesions is imperative for evaluating
disease activity. Standard approaches pose lesion detection as a segmentation
problem despite the time-consuming nature of acquiring segmentation labels. In
this paper, we present a lesion detection method which relies only on point
labels. Our model, which is trained via heatmap regression, can detect a
variable number of lesions in a probabilistic manner. In fact, our proposed
post-processing method offers a reliable way of directly estimating the lesion
existence …

annotations arxiv detection heatmap regression

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