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Lung Nodule Classification On Lidc Idri

Metrics

Acc
Accuracy

Results

Performance results of various models on this benchmark

Model Name
Acc
Accuracy
Paper TitleRepository
DeepLung90.4490.44DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
Gated-Dilated-92.57Gated-Dilated Networks for Lung Nodule Classification in CT scans-
ProCAN-94.11ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification-
I3DR-Net--Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learning
MST--Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2
Local-Global-88.46Lung Nodule Classification using Deep Local-Global Networks
GVAE-93.1Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions
NASLung (ours)-90.77Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification
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