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Lung Nodule Classification on LIDC-IDRI

94.84AUCSVD-Net
39.688854.006968.32582.6431Jan 5, 2022Sep 30, 2022Jun 25, 2023Mar 19, 2024Dec 12, 2024Sep 6, 2025Jun 2, 2026

Evaluation results

MethodLinks
SVD-Net2022.0194.8485.4972.1559.9290.9490.9484.06——
Models GenesisP-value=0.032022.0194.1886.3273.1461.71909085.37——
KineticsP-value=0.002022.0194.0484.5870.4358.4488.7588.7583.5——
Proposed Binary Model 1Model formulation=Binary2026.0293.83————————
ACSP-value=0.002022.0193.5483.9370.357.3191.5691.5681.95——
I3DP-value=0.002022.0193.2384.7770.2559.1686.8786.8784.23——
ACS ScratchP-value=0.002022.0192.8285.170.9859.8487.8187.8184.39——
ScratchP-value=0.002022.0192.7585.171.0159.6888.1388.1384.31——
Proposed Multiclass Model 1Model formulation=Multiclass2026.0291.76————————
GLINT-CTEvaluation protocol=Downstream task evaluation (task-specific heads trained)2026.0691.6————————
Attention pyramid pooling network2026.0291.4————————
COLIPRIEvaluation protocol=Downstream task evaluation (task-specific heads trained)2026.0690.6————————
Med3DP-value=0.002022.0186.583.8165.6859.5974.3774.3786.26——
M3Net2026.0585.486.9686.6686.5686.96—86.9680.1287.27
3DINO-ViT2026.0585.1383.8583.2983.1283.85—83.8578.786.94
NASLung2026.0585.0383.783.2483.0583.7—83.778.2887.49
BiomedCLIPPretraining=CXR-pretrained, Transfer=CXR to CT2026.0384.65—72.35——————
VIVID-MedPretraining=CXR-pretrained, Transfer=CXR to CT2026.0384.13—75.63——————
MVCS2026.0582.5683.4182.1282.4683.41—83.4179.5285.82
ViT-B2026.0581.9282.9681.8581.9282.96—82.9678.2285.81
DeepLung2026.0581.6583.783.3383.1383.7—83.778.1685.63
ResNet-182026.0581.4182.6781.8181.6782.67—82.6777.284.87
DINOv32026.0581.383.4182.7182.5683.41—83.4178.285.34
M3D-LaMed2026.0580.2683.1181.1382.4783.11—83.1179.8882.78
MLSL-Net2026.0580.2382.6781.781.6282.67—82.6777.3883.52
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs2026.0280————————
V-JEPA 2.1Evaluation protocol=Downstream task evaluation (task-specific heads trained)2026.0679.8————————
ImageNet supervisedPretraining=CXR-pretrained, Transfer=CXR to CT2026.0379.33—67.6——————
DINOv22026.0578.3382.5281.2881.3982.52—82.5277.682.88
ResNet-342026.0578.0582.2281.4781.2582.22—82.2276.2882.34
MAEPretraining=CXR-pretrained, Transfer=CXR to CT2026.0376.07—53.41——————
CT-CLIPEvaluation protocol=Downstream task evaluation (task-specific heads trained)2026.0675.5————————
3D-CNN2026.0573.6782.3781.3981.2882.37—82.3776.8785.53
fVLMEvaluation protocol=Downstream task evaluation (task-specific heads trained)2026.0672.6————————
DINOv3Pretraining=CXR-pretrained, Transfer=CXR to CT2026.0366.75—43.89——————
KEPILZero-shot=true, Modality=CT2026.0566.65————————
CARZeroZero-shot=true, Modality=CT2026.0560.57————————
KADZero-shot=true, Modality=CT2026.0557.75————————
ViSD-BoostEvaluation protocol=Downstream task evaluation (task-specific heads trained)2026.0651.8————————
DeViDeZero-shot=true, Modality=CT2026.0547.9————————
MedKLIPZero-shot=true, Modality=CT2026.0545.56————————
MAVLZero-shot=true, Modality=CT2026.0541.81————————
3D-CNN+MTLExplainability=Non-explainable2023.10—90———————
CapsNetExplainability=Non-explainable2023.10—77———————
DeepLungGFLOPs=45.316, Parameters=36.9682026.05—83.7———————
DinoV3GFLOPs=539.150, Parameters=85.9042026.05—83.41———————
HSCNNExplainability=Explainable, Evaluation Protocol=binary ACC.2023.10—84.2———————
M3NetGFLOPs=20.079, Parameters=184.6082026.05—86.96———————
MVCSGFLOPs=48.202, Parameters=98.9872026.05—83.41———————
NASLungGFLOPs=21.335, Parameters=28.4562026.05—83.7———————
Proto-CapsExplainability=Explainable, Evaluation Protocol=Within-1-Accuracy, Cross-validation=5-fold2023.10—93———————
TumorNetExplainability=Non-explainable2023.10—92.3———————
X-CapsExplainability=Explainable, Evaluation Protocol=Within-1-Accuracy2023.10—86.4———————