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Lung Nodule Classification

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 31–35 of 35 papers

Title	Date	Tasks	Status	Hype
Lung Cancer Screening Using Adaptive Memory-Augmented Recurrent Networks	Oct 11, 2017	Clinical KnowledgeGeneral Classification	—Unverified	0
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization	Aug 19, 2017	Bayesian OptimizationLung Nodule Classification	—Unverified	0
Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images	Mar 1, 2017	General ClassificationLung Nodule Classification	—Unverified	0
Towards automatic pulmonary nodule management in lung cancer screening with deep learning	Oct 28, 2016	Deep LearningLung Nodule Classification	—Unverified	0
Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features	May 26, 2016	Computed Tomography (CT)Diagnostic	—Unverified	0

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	MST	AUC	95	—	Unverified
2	ProCAN	Accuracy	94.11	—	Unverified
3	GVAE	Accuracy	93.1	—	Unverified
4	Gated-Dilated	Accuracy	92.57	—	Unverified
5	NASLung (ours)	Accuracy	90.77	—	Unverified
6	DeepLung	Accuracy	90.44	—	Unverified
7	Local-Global	Accuracy	88.46	—	Unverified
8	I3DR-Net	AUC	81.84	—	Unverified