paper-with-me

Semi-supervised Medical Image Classification 벤치마크

Semi-supervised Medical Image Classification on Chest X-Ray14 2% labeled

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AUC

53 58.45 63.91 69.36 74.82 2019-07 2026-09 Graph XNet — 53.0 (2019-07-23) Graph XNet — 53.0 (2019-07-23) UPS — 65.51 (2021-01-15) UPS — 65.51 (2021-01-15) S2MTS2 — 74.69 (2021-03-05) S2MTS2 — 74.69 (2021-03-05) ACPL — 74.82 (2021-11-25) ACPL — 74.82 (2021-11-25) Graph XNet — 53.0 (2019-07-23) UPS — 65.51 (2021-01-15) S2MTS2 — 74.69 (2021-03-05) ACPL — 74.82 (2021-11-25)
RankModel AUC PaperCodeYear
1 ACPL 74.82 ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification FBLADL/ACPL 2021
2 S2MTS2 74.69 Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification fengbeiliu/semi-chest 2021
3 UPS 65.51 In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning nayeemrizve/ups · matinmoezzi/ups_conformal_classification 2021
4 Graph XNet 53 GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision 2019
5 ACPL 74.82 ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification FBLADL/ACPL 2021
6 S2MTS2 74.69 Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification fengbeiliu/semi-chest 2021
7 UPS 65.51 In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning nayeemrizve/ups · matinmoezzi/ups_conformal_classification 2021
8 Graph XNet 53 GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision 2019
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