threshold int64 | pancreatic_sensitivity string | pancreatic_specificity string | pancreatic_f1 string |
|---|---|---|---|
10 | 85.3% (168/197) | 58.3% (116/199) | 75.0% (TP=168, FP=83, FN=29) |
20 | 85.3% (168/197) | 58.3% (116/199) | 75.0% (TP=168, FP=83, FN=29) |
30 | 85.3% (168/197) | 58.3% (116/199) | 75.0% (TP=168, FP=83, FN=29) |
40 | 85.3% (168/197) | 58.3% (116/199) | 75.0% (TP=168, FP=83, FN=29) |
50 | 85.3% (168/197) | 59.3% (118/199) | 75.3% (TP=168, FP=81, FN=29) |
60 | 84.3% (166/197) | 61.3% (122/199) | 75.5% (TP=166, FP=77, FN=31) |
70 | 84.3% (166/197) | 62.8% (125/199) | 76.0% (TP=166, FP=74, FN=31) |
80 | 84.3% (166/197) | 64.8% (129/199) | 76.7% (TP=166, FP=70, FN=31) |
90 | 81.7% (161/197) | 66.8% (133/199) | 75.9% (TP=161, FP=66, FN=36) |
100 | 81.2% (160/197) | 67.3% (134/199) | 75.8% (TP=160, FP=65, FN=37) |
110 | 79.2% (156/197) | 68.3% (136/199) | 75.0% (TP=156, FP=63, FN=41) |
120 | 78.7% (155/197) | 70.9% (141/199) | 75.6% (TP=155, FP=58, FN=42) |
130 | 78.2% (154/197) | 71.9% (143/199) | 75.7% (TP=154, FP=56, FN=43) |
140 | 77.7% (153/197) | 73.9% (147/199) | 76.1% (TP=153, FP=52, FN=44) |
150 | 77.7% (153/197) | 74.4% (148/199) | 76.3% (TP=153, FP=51, FN=44) |
160 | 76.6% (151/197) | 76.4% (152/199) | 76.5% (TP=151, FP=47, FN=46) |
170 | 76.1% (150/197) | 76.4% (152/199) | 76.1% (TP=150, FP=47, FN=47) |
180 | 75.6% (149/197) | 77.4% (154/199) | 76.2% (TP=149, FP=45, FN=48) |
190 | 75.6% (149/197) | 77.4% (154/199) | 76.2% (TP=149, FP=45, FN=48) |
200 | 75.1% (148/197) | 79.4% (158/199) | 76.7% (TP=148, FP=41, FN=49) |
210 | 74.6% (147/197) | 79.9% (159/199) | 76.6% (TP=147, FP=40, FN=50) |
220 | 74.1% (146/197) | 80.9% (161/199) | 76.6% (TP=146, FP=38, FN=51) |
230 | 73.6% (145/197) | 82.4% (164/199) | 76.9% (TP=145, FP=35, FN=52) |
240 | 73.1% (144/197) | 82.4% (164/199) | 76.6% (TP=144, FP=35, FN=53) |
250 | 72.6% (143/197) | 83.4% (166/199) | 76.7% (TP=143, FP=33, FN=54) |
260 | 72.1% (142/197) | 84.4% (168/199) | 76.8% (TP=142, FP=31, FN=55) |
270 | 70.6% (139/197) | 84.4% (168/199) | 75.7% (TP=139, FP=31, FN=58) |
280 | 70.6% (139/197) | 84.9% (169/199) | 76.0% (TP=139, FP=30, FN=58) |
290 | 70.1% (138/197) | 85.4% (170/199) | 75.8% (TP=138, FP=29, FN=59) |
300 | 70.1% (138/197) | 86.4% (172/199) | 76.2% (TP=138, FP=27, FN=59) |
310 | 69.5% (137/197) | 86.4% (172/199) | 75.9% (TP=137, FP=27, FN=60) |
320 | 69.0% (136/197) | 87.4% (174/199) | 76.0% (TP=136, FP=25, FN=61) |
330 | 69.0% (136/197) | 87.9% (175/199) | 76.2% (TP=136, FP=24, FN=61) |
340 | 68.5% (135/197) | 88.4% (176/199) | 76.1% (TP=135, FP=23, FN=62) |
350 | 68.0% (134/197) | 88.9% (177/199) | 75.9% (TP=134, FP=22, FN=63) |
360 | 68.0% (134/197) | 88.9% (177/199) | 75.9% (TP=134, FP=22, FN=63) |
370 | 68.0% (134/197) | 89.9% (179/199) | 76.4% (TP=134, FP=20, FN=63) |
380 | 67.5% (133/197) | 89.9% (179/199) | 76.0% (TP=133, FP=20, FN=64) |
390 | 67.5% (133/197) | 90.5% (180/199) | 76.2% (TP=133, FP=19, FN=64) |
400 | 67.0% (132/197) | 91.0% (181/199) | 76.1% (TP=132, FP=18, FN=65) |
410 | 67.0% (132/197) | 91.5% (182/199) | 76.3% (TP=132, FP=17, FN=65) |
420 | 66.5% (131/197) | 91.5% (182/199) | 75.9% (TP=131, FP=17, FN=66) |
430 | 66.0% (130/197) | 91.5% (182/199) | 75.6% (TP=130, FP=17, FN=67) |
440 | 66.0% (130/197) | 91.5% (182/199) | 75.6% (TP=130, FP=17, FN=67) |
450 | 65.5% (129/197) | 91.5% (182/199) | 75.2% (TP=129, FP=17, FN=68) |
460 | 65.5% (129/197) | 91.5% (182/199) | 75.2% (TP=129, FP=17, FN=68) |
470 | 65.5% (129/197) | 91.5% (182/199) | 75.2% (TP=129, FP=17, FN=68) |
480 | 65.5% (129/197) | 91.5% (182/199) | 75.2% (TP=129, FP=17, FN=68) |
490 | 65.5% (129/197) | 91.5% (182/199) | 75.2% (TP=129, FP=17, FN=68) |
500 | 65.5% (129/197) | 91.5% (182/199) | 75.2% (TP=129, FP=17, FN=68) |
510 | 65.0% (128/197) | 92.0% (183/199) | 75.1% (TP=128, FP=16, FN=69) |
520 | 65.0% (128/197) | 92.5% (184/199) | 75.3% (TP=128, FP=15, FN=69) |
530 | 65.0% (128/197) | 92.5% (184/199) | 75.3% (TP=128, FP=15, FN=69) |
540 | 65.0% (128/197) | 92.5% (184/199) | 75.3% (TP=128, FP=15, FN=69) |
550 | 64.5% (127/197) | 92.5% (184/199) | 74.9% (TP=127, FP=15, FN=70) |
560 | 63.5% (125/197) | 92.5% (184/199) | 74.2% (TP=125, FP=15, FN=72) |
570 | 63.5% (125/197) | 92.5% (184/199) | 74.2% (TP=125, FP=15, FN=72) |
580 | 63.5% (125/197) | 93.0% (185/199) | 74.4% (TP=125, FP=14, FN=72) |
590 | 63.5% (125/197) | 93.5% (186/199) | 74.6% (TP=125, FP=13, FN=72) |
600 | 62.9% (124/197) | 93.5% (186/199) | 74.3% (TP=124, FP=13, FN=73) |
610 | 62.9% (124/197) | 94.0% (187/199) | 74.5% (TP=124, FP=12, FN=73) |
620 | 62.9% (124/197) | 94.0% (187/199) | 74.5% (TP=124, FP=12, FN=73) |
630 | 62.9% (124/197) | 94.0% (187/199) | 74.5% (TP=124, FP=12, FN=73) |
640 | 62.9% (124/197) | 94.0% (187/199) | 74.5% (TP=124, FP=12, FN=73) |
650 | 62.9% (124/197) | 94.0% (187/199) | 74.5% (TP=124, FP=12, FN=73) |
660 | 62.4% (123/197) | 94.0% (187/199) | 74.1% (TP=123, FP=12, FN=74) |
670 | 62.4% (123/197) | 94.0% (187/199) | 74.1% (TP=123, FP=12, FN=74) |
680 | 62.4% (123/197) | 94.0% (187/199) | 74.1% (TP=123, FP=12, FN=74) |
690 | 62.4% (123/197) | 94.0% (187/199) | 74.1% (TP=123, FP=12, FN=74) |
700 | 62.4% (123/197) | 94.0% (187/199) | 74.1% (TP=123, FP=12, FN=74) |
710 | 62.4% (123/197) | 94.0% (187/199) | 74.1% (TP=123, FP=12, FN=74) |
720 | 62.4% (123/197) | 94.0% (187/199) | 74.1% (TP=123, FP=12, FN=74) |
730 | 60.9% (120/197) | 94.0% (187/199) | 72.9% (TP=120, FP=12, FN=77) |
740 | 60.4% (119/197) | 94.0% (187/199) | 72.6% (TP=119, FP=12, FN=78) |
750 | 59.9% (118/197) | 94.0% (187/199) | 72.2% (TP=118, FP=12, FN=79) |
760 | 59.4% (117/197) | 94.0% (187/199) | 71.8% (TP=117, FP=12, FN=80) |
770 | 58.9% (116/197) | 94.0% (187/199) | 71.4% (TP=116, FP=12, FN=81) |
780 | 58.9% (116/197) | 94.0% (187/199) | 71.4% (TP=116, FP=12, FN=81) |
790 | 58.9% (116/197) | 94.0% (187/199) | 71.4% (TP=116, FP=12, FN=81) |
800 | 58.4% (115/197) | 94.0% (187/199) | 71.0% (TP=115, FP=12, FN=82) |
810 | 58.4% (115/197) | 94.0% (187/199) | 71.0% (TP=115, FP=12, FN=82) |
820 | 58.4% (115/197) | 94.0% (187/199) | 71.0% (TP=115, FP=12, FN=82) |
830 | 58.4% (115/197) | 94.0% (187/199) | 71.0% (TP=115, FP=12, FN=82) |
840 | 58.4% (115/197) | 94.0% (187/199) | 71.0% (TP=115, FP=12, FN=82) |
850 | 58.4% (115/197) | 94.0% (187/199) | 71.0% (TP=115, FP=12, FN=82) |
860 | 58.4% (115/197) | 94.0% (187/199) | 71.0% (TP=115, FP=12, FN=82) |
870 | 58.4% (115/197) | 94.0% (187/199) | 71.0% (TP=115, FP=12, FN=82) |
880 | 57.4% (113/197) | 94.0% (187/199) | 70.2% (TP=113, FP=12, FN=84) |
890 | 57.4% (113/197) | 94.0% (187/199) | 70.2% (TP=113, FP=12, FN=84) |
900 | 56.9% (112/197) | 94.0% (187/199) | 69.8% (TP=112, FP=12, FN=85) |
910 | 56.9% (112/197) | 94.0% (187/199) | 69.8% (TP=112, FP=12, FN=85) |
920 | 56.3% (111/197) | 94.0% (187/199) | 69.4% (TP=111, FP=12, FN=86) |
930 | 56.3% (111/197) | 94.0% (187/199) | 69.4% (TP=111, FP=12, FN=86) |
940 | 56.3% (111/197) | 94.0% (187/199) | 69.4% (TP=111, FP=12, FN=86) |
950 | 55.8% (110/197) | 94.0% (187/199) | 69.0% (TP=110, FP=12, FN=87) |
960 | 55.8% (110/197) | 94.0% (187/199) | 69.0% (TP=110, FP=12, FN=87) |
970 | 55.8% (110/197) | 94.0% (187/199) | 69.0% (TP=110, FP=12, FN=87) |
980 | 55.8% (110/197) | 94.0% (187/199) | 69.0% (TP=110, FP=12, FN=87) |
990 | 55.3% (109/197) | 94.5% (188/199) | 68.8% (TP=109, FP=11, FN=88) |
100 | 81.2% (160/197) | 67.3% (134/199) | 75.8% (TP=160, FP=65, FN=37) |
End of preview. Expand in Data Studio
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This dataset contains the results of reproducing the paper "Learning Segmentation from Radiology Reports" using only public data, following R-Super Demo with Public Data.
Download using:
pip install -U "huggingface_hub[cli]"
# download
hf download edomerli/rsuper-predictions --repo-type dataset --local-dir ./rsuper-predictions
# extract
cd rsuper-predictions
tar -xzf preds_merlin.tar.gz
tar -xzf preds_pants.tar.gz
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