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Lesion Grading on AIDPATH-G

0.999ROC-AUCUNI
0.555960.670980.7860.90102Mar 3, 2026

Evaluation results

MethodLinks
UNISupervision protocol=full supervision2026.030.999——————————
GloPathSupervision protocol=full supervision2026.030.999——————————
RenalPathSupervision protocol=full supervision2026.030.995——————————
CONCHSupervision protocol=full supervision2026.030.992——————————
GloPathk=100, Evaluation Protocol=SVM-based few-shot learning2026.030.992——————————
PLIPSupervision protocol=full supervision2026.030.99——————————
UNIk=100, Evaluation Protocol=SVM-based few-shot learning2026.030.987——————————
GloPathk=25, Evaluation Protocol=SVM-based few-shot learning2026.030.974——————————
RenalPathk=100, Evaluation Protocol=SVM-based few-shot learning2026.030.968——————————
PLIPk=100, Evaluation Protocol=SVM-based few-shot learning2026.030.966——————————
CONCHk=100, Evaluation Protocol=SVM-based few-shot learning2026.030.96——————————
UNIk=25, Evaluation Protocol=SVM-based few-shot learning2026.030.959——————————
GloPathk=10, Evaluation Protocol=SVM-based few-shot learning2026.030.924——————————
PLIPk=25, Evaluation Protocol=SVM-based few-shot learning2026.030.923——————————
UNIk=10, Evaluation Protocol=SVM-based few-shot learning2026.030.912——————————
GloPathk=5, Evaluation Protocol=SVM-based few-shot learning2026.030.904——————————
RenalPathk=25, Evaluation Protocol=SVM-based few-shot learning2026.030.899——————————
ImageNetPreSupervision protocol=full supervision2026.030.893——————————
PLIPk=10, Evaluation Protocol=SVM-based few-shot learning2026.030.886——————————
RandomInitSupervision protocol=full supervision2026.030.878——————————
UNIk=5, Evaluation Protocol=SVM-based few-shot learning2026.030.877——————————
CONCHk=25, Evaluation Protocol=SVM-based few-shot learning2026.030.876——————————
RenalPathk=10, Evaluation Protocol=SVM-based few-shot learning2026.030.841——————————
PLIPk=5, Evaluation Protocol=SVM-based few-shot learning2026.030.836——————————
CONCHk=10, Evaluation Protocol=SVM-based few-shot learning2026.030.828——————————
RenalPathk=5, Evaluation Protocol=SVM-based few-shot learning2026.030.803——————————
GloPathk=1, Evaluation Protocol=SVM-based few-shot learning2026.030.795——————————
ImageNetPrek=100, Evaluation Protocol=SVM-based few-shot learning2026.030.783——————————
RandomInitk=100, Evaluation Protocol=SVM-based few-shot learning2026.030.777——————————
CONCHk=5, Evaluation Protocol=SVM-based few-shot learning2026.030.771——————————
ImageNetPrek=25, Evaluation Protocol=SVM-based few-shot learning2026.030.727——————————
RandomInitk=25, Evaluation Protocol=SVM-based few-shot learning2026.030.724——————————
UNIk=1, Evaluation Protocol=SVM-based few-shot learning2026.030.719——————————
RandomInitk=10, Evaluation Protocol=SVM-based few-shot learning2026.030.691——————————
ImageNetPrek=10, Evaluation Protocol=SVM-based few-shot learning2026.030.69——————————
PLIPk=1, Evaluation Protocol=SVM-based few-shot learning2026.030.674——————————
RandomInitk=5, Evaluation Protocol=SVM-based few-shot learning2026.030.667——————————
ImageNetPrek=5, Evaluation Protocol=SVM-based few-shot learning2026.030.665——————————
RenalPathk=1, Evaluation Protocol=SVM-based few-shot learning2026.030.619——————————
CONCHk=1, Evaluation Protocol=SVM-based few-shot learning2026.030.606——————————
RandomInitk=1, Evaluation Protocol=SVM-based few-shot learning2026.030.578——————————
ImageNetPrek=1, Evaluation Protocol=SVM-based few-shot learning2026.030.573——————————
CONCH2026.03—0.70.8660.8490.9270.9540.9310.910.8490.9320.969
GloPath2026.03—0.7260.8970.8630.960.9590.9560.9020.9180.950.962
ImageNetPre2026.03—0.5840.5480.7360.8570.8560.8090.8540.8640.8510.9
PLIP2026.03—0.6730.8640.8040.9110.8220.9260.8940.870.9090.902
RandomInit2026.03—0.5840.7040.7160.8240.8270.7960.8540.8150.7660.849
RenalPath2026.03—0.7290.8860.8460.9330.9430.9160.8960.9060.9330.924
UNI2026.03—0.7360.8840.8330.9430.9450.9130.920.9150.9540.961