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홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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Lung Nodule Classification On Lidc Idri

평가 지표

Acc

Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Acc	Accuracy	Paper Title	Repository
DeepLung	90.44	90.44	DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification	-
Gated-Dilated	-	92.57	Gated-Dilated Networks for Lung Nodule Classification in CT scans	-
ProCAN	-	94.11	ProCAN: 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	-	88.46	Lung Nodule Classification using Deep Local-Global Networks	-
GVAE	-	93.1	Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions	-
NASLung (ours)	-	90.77	Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification	-

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Lung Nodule Classification On Lidc Idri | SOTA | HyperAI초신경