An adaptive multiscale AM-FM texture analysis system with application to hysteroscopy imaging

By Ioannis Constantinou, Marios S. Pattichis, Vasillis Tanos, Marios S. Neofytou, Constantinos S. Pattichis. 2012

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The use of multiscale AM-FM analysis systems has been recently demonstrated in a variety of applications in medical image analysis. In all of these applications, a fixed filter-bank is used as a preprocessing step for estimating different AM-FM components from different scales. In this paper, for the first time, we introduce the use of an adaptive, multiscale AM-FM approach that searches for the optimal filter-bank specification for use in image classification. We demonstrate an example application in hysteroscopy imaging, for identification of gynaecological cancer, where the optimal filter-bank turns out to be circularly symmetric.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

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What do we need to build explainable AI systems for the medical domain? (2017, methodology): “…of population screening for diabetic retinopathy 6 as documented in (Agurto et al., 2010), (Rahim et al., 2015), hysteroscopy image assessment (Constantinou et al., 2012), fMRI and MRI image analysis (Loizou et al., 2011b), and atherosclerotic plaque ultrasound image and video analysis…”