Update README.md

JoHof · Apr 29, 2020 · 49a50bb · 49a50bb
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@@ -6,7 +6,7 @@ This package provides trained U-net models for lung segmentation. For now, four
 
 - U-net(LTRCLobes): This model was trained on a subset of the [LTRC](https://ltrcpublic.com) dataset. The model performs segmentation of individual lung-lobes but yields limited performance when dense pathologies are present. 
 
-- U-net(LTRCLobes_R231): This will run the R231 and LTRCLobes model and fuse the results. False negatives from LTRCLobes will be filled by R231 predictions and mapped to a neighbor label. False positives from LTRCLobes will be removed. 
+- U-net(LTRCLobes_R231): This will run the R231 and LTRCLobes model and fuse the results. False negatives from LTRCLobes will be filled by R231 predictions and mapped to a neighbor label. False positives from LTRCLobes will be removed. The fusing process is computationally intensive and can, depdending on the data and results, take up to several minutes per volume.
 
 - [U-net(R231CovidWeb)](#COVID-19-Web)