Semi Supervised Medical Image Classification 1

AUC

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	AUC	Paper Title	Repository
Graph XNet	53	GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision	-
S2MTS2	74.69	Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification
UPS	65.51	In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
ACPL	74.82	ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification

0 of 4 row(s) selected.