Phys Imaging Radiat Oncol
October 2024
Background And Purpose: Deep-learning-based automatic segmentation is widely used in radiation oncology to delineate organs-at-risk. Dual-energy CT (DECT) allows the reconstruction of enhanced contrast images that could help with manual and auto-delineation. This paper presents a performance evaluation of a commercial auto-segmentation software on image series generated by a DECT.
View Article and Find Full Text PDFThirty one cases of accidental hypothermia have been taken in care by the SAMU de Paris during the year of 1987. The accidental hypothermias happening in the cities are, most of the time, moderated and not very serious. The search for a cause is a prime necessity.
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