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Jun, 2020
用于脑MRI非监督异常分割的尺度空间自编码器
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI
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Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
TL;DR
使用拉普拉斯金字塔对健康脑MRI的不同频带进行压缩和重建来提高重构保真度,实现对大、小脑病变的定位和聚合,并且表现出优异的异常分割效果。
Abstract
Brain pathologies can vary greatly in size and shape, ranging from few pixels (i.e. MS lesions) to large, space-occupying tumors. Recently proposed Autoencoder-based methods for
unsupervised anomaly segmentation
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