2022
DOI: 10.1007/978-3-031-16760-7_1
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Heatmap Regression for Lesion Detection Using Pointwise Annotations

Abstract: 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 directl… Show more

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