Lung Nodule Classification On Lidc Idri

Metriken

Acc

Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

			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

0 of 8 row(s) selected.