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. Author manuscript; available in PMC: 2018 Oct 18.
Published in final edited form as: Proc IEEE Int Symp Biomed Imaging. 2018 May 24;2018:885–888. doi: 10.1109/ISBI.2018.8363713

Table 1.

Comparison of single- and multi-task learning networks. The bold denotes the best performance for each organ, in terms of Dice ratio (standard deviation).

Bladder Prostate Rectum
one task .935(.015) .877(.031) .868(.034)
two tasks .938(.016) .889(.021) .869(.033)
four tasks .952(.007) .891(.019) .884(.027)