Table 2. LASSNet average segmentation performances depending on the data quality selection.

Left atrium cavity Dice coefficient (LA_cav Dice), Left atrium cavity average surface distance (LA_cav ASD), Left atrium cavity Hausdorff distance (LA_cav HD), Left atrium scar accuracy (LA_scar Acc), Left atrium scar specificity (LA_scar Spe), Left atrium scar sensitivity (LA_scar Sen), Left atrium scar Dice coefficient (LA_scar Dice), Left atrium scar generalized Dice coefficient (LA_scar GDice) are shown for 4 LASSNet trainings with the Dice as loss function and a ROI wall thickness of 2.5 mm and depending on whether data quality selection was applied (green if applied and red if not): LASSNet₁ both stages were trained on the Task 1 selected data (46 LGE scans), LASSNet₂ Stage 1 was trained on the Task 2 full data (130 LGE scans) and Stage 2 was trained on the Task 1 full data (60 LGE scans), LASSNet₃ Stage 1 was trained on the Task 2 selected data (106 LGE scans) and Stage 2 was trained on the Task 1 selected data (46 LGE scans), LASSNet₄ Stage 1 was trained on the Task 2 selected data (106 LGE scans) and Stage 2 was trained on the Task 1 full data (60 LGE scans). Acc, Spe and Sen are expressed in percentage terms, Dice and GDice are adimensional, and HD and ASD are in millimeters. The best performing model is written in bold.

NNs	LAcav Dice	LAcav ASD	LAcav HD	LAscar Acc	LAscar Spe	LAscar Sen	LAscar Dice	LAscar GDice
LASSNet1	0.8659	2.59	30.66	0.9999246	0.9999627	0.576	0.559	0.8953
Stage 1	± 0.0751	± 1.31	± 8.01	±2.23×10−5	±1.05×10−5	± 0.137	± 0.160	± 0.0229
LASSNet2	0.8737	2.44	27.14	0.9999258	0,9999603	0.621	0.586	0.8987
Stage 1 & 2	± 0.0648	± 1.33	± 8.77	±2.39×10−5	±1.38×10−5	± 0.116	± 0.134	± 0.0237
LASSNet3	0.8892	2.179	26.27	0.9999231	0.9999596	0.588	0.563	0.8942
Stage 1 & 2	± 0.0432	± 0.950	± 11.24	±2.65×10−5	±1.32×10−5	± 0.136	± 0.151	± 0.0281
LASSNet4	0.8892	2.179	26.27	0.9999273	0.9999616	0.624	0.591	0.9004
Stage 1 & 2	± 0.0432	± 0.950	± 11.24	±2.38×10−5	±1.22×10−5	± 0.124	± 0.137	± 0.0241