Continuous max-flow augmentation of self-supervised few-shot learning on SPECT left ventricles

arXiv:2405.05520v1 Announce Type: cross
Abstract: Single-Photon Emission Computed Tomography (SPECT) left ventricular assessment protocols are important for detecting ischemia in high-risk patients. To quantitatively measure myocardial function, clinicians depend on commercially available solutions to segment and reorient the left ventricle (LV) for evaluation. Based on large normal datasets, the segmentation performance and the high price of these solutions can hinder the availability of reliable and precise localization of the LV delineation. To overcome the aforementioned shortcomings this paper aims to …

abstract arxiv assessment augmentation clinicians continuous cs.cv cs.lg datasets eess.iv evaluation few-shot few-shot learning flow function max normal patients photon risk segment solutions type