Files
hypertower/v4/figures/output/F8_quadrant_fractions.csv
rpotter6298 708fbc70ce Add analysis scripts and experiment configurations for bridge attention and sensitivity studies
- Introduced `bridge_attention_ceiling_check.py` for variance decomposition analysis on bridge attention configurations.
- Added `bridge_attention_readout.py` to perform per-tower gate and contribution readouts, including AUC sanity checks.
- Created multiple JSON configuration files for backbone replication experiments, including anonymous CV variants and basic backbones.
- Implemented sensitivity experiments to evaluate the impact of axial length inclusion and EfficientNetV2-M performance at higher resolutions.
- Added a memory probe script to assess GPU memory usage during training with EfficientNetV2-M.
2026-07-03 08:51:44 +02:00

3.2 KiB

1classoutcomescopequadrantn_eyesmeansd
2GlaucomacorrectdiscST460.142684061726106180.08672064804334276
3GlaucomacorrectdiscSN460.18913746423265690.15141795670756453
4GlaucomacorrectdiscIT460.286980609713217870.1321960653720743
5GlaucomacorrectdiscIN460.38119785027553970.17407907371247724
6GlaucomacorrectperiST460.08017092410309860.08494386999472202
7GlaucomacorrectperiSN460.159189484071175920.20257575474186357
8GlaucomacorrectperiIT460.348268321915516930.2606073381849083
9GlaucomacorrectperiIN460.412371258046645430.249789089870656
10GlaucomacorrectfullST460.097428989190083720.08228642449987539
11GlaucomacorrectfullSN460.186599801654432520.20125297725836833
12GlaucomacorrectfullIT460.362860989880761540.26458782651352963
13GlaucomacorrectfullIN460.353110227121311460.2246580892242915
14GlaucomaincorrectdiscST340.2521124401456960.15034014496616682
15GlaucomaincorrectdiscSN340.17460026329833890.09578946023984732
16GlaucomaincorrectdiscIT340.32936201291862650.17212955919145329
17GlaucomaincorrectdiscIN340.243925285971470150.17660301429323946
18GlaucomaincorrectperiST340.203855309320899960.17952535419921464
19GlaucomaincorrectperiSN340.158753305003665880.15449712019023593
20GlaucomaincorrectperiIT340.38625691423567270.2418765080584544
21GlaucomaincorrectperiIN340.251134474287425860.24028533916258976
22GlaucomaincorrectfullST340.212174645243214970.15540407279111246
23GlaucomaincorrectfullSN340.163309739745590650.12739118311502012
24GlaucomaincorrectfullIT340.378568963293111570.20473194944523931
25GlaucomaincorrectfullIN340.245946651481989020.20319230952963316
26NormalcorrectdiscST3130.215295173669463070.0928060891129116
27NormalcorrectdiscSN3130.15719766737392740.08983072836980605
28NormalcorrectdiscIT3130.35362510210090690.14392434591451472
29NormalcorrectdiscIN3130.273882056858443860.13935549411695708
30NormalcorrectperiST3130.160394129085801250.10491506604844639
31NormalcorrectperiSN3130.111988313442329640.1038424179426872
32NormalcorrectperiIT3130.43724517769413880.22439216417926178
33NormalcorrectperiIN3130.290372379125738770.21697235549864913
34NormalcorrectfullST3130.175856999269739240.09265567144523121
35NormalcorrectfullSN3130.13053769941473680.09449518811759064
36NormalcorrectfullIT3130.41120807386590840.19447938630719017
37NormalcorrectfullIN3130.282397223232307540.18195870133945977
38NormalincorrectdiscST270.122998518885444250.11261550366741999
39NormalincorrectdiscSN270.21212766410990020.1995218721251311
40NormalincorrectdiscIT270.264710450762217830.17809359884921286
41NormalincorrectdiscIN270.400163363262906140.22355291760060642
42NormalincorrectperiST270.077602014359625060.10155210979149742
43NormalincorrectperiSN270.19657380903047490.2495116802723263
44NormalincorrectperiIT270.28141994163691570.2308903646345705
45NormalincorrectperiIN270.44440424755681660.27092685369261976
46NormalincorrectfullST270.096325956856064790.13797078057713352
47NormalincorrectfullSN270.202125704343833280.2336043948759492
48NormalincorrectfullIT270.30811027469774080.2523555953549531
49NormalincorrectfullIN270.39343805629089730.24633953116106946