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算力平台
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SOTA
肺结节分类
Lung Nodule Classification On Lidc Idri
Lung Nodule Classification On Lidc Idri
评估指标
Acc
Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Acc
Accuracy
Paper Title
ProCAN
-
94.11
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification
GVAE
-
93.1
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions
Gated-Dilated
-
92.57
Gated-Dilated Networks for Lung Nodule Classification in CT scans
NASLung (ours)
-
90.77
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification
DeepLung
90.44
90.44
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
Local-Global
-
88.46
Lung Nodule Classification using Deep Local-Global Networks
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
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Lung Nodule Classification On Lidc Idri | SOTA | HyperAI超神经