Lung Nodule Classification on LIDC-IDRI

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	ProCAN	94.11	No	ProCAN: Progressive Growing Channel Attentive No...	2020-10-29	-
2	GVAE	93.1	No	Variational Autoencoders for Feature Exploration...	2023-11-27	Code
3	Gated-Dilated	92.57	No	Gated-Dilated Networks for Lung Nodule Classific...	2019-01-01	-
4	NASLung (ours)	90.77	No	Learning Efficient, Explainable and Discriminati...	2021-01-19	Code
5	DeepLung	90.44	No	DeepLung: Deep 3D Dual Path Nets for Automated P...	2018-01-25	Code
6	Local-Global	88.46	No	Lung Nodule Classification using Deep Local-Glob...	2019-04-23	Code

#1ProCANSOTA
94.11
Accuracy· 2020-10-29
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification
#2GVAE
93.1
Accuracy· 2023-11-27
Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions Code
#3Gated-DilatedSOTA
92.57
Accuracy· 2019-01-01
Gated-Dilated Networks for Lung Nodule Classification in CT scans
#4NASLung (ours)
90.77
Accuracy· 2021-01-19
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification Code
#5DeepLungSOTA
90.44
Accuracy· 2018-01-25
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification Code
#6Local-Global
88.46
Accuracy· 2019-04-23
Lung Nodule Classification using Deep Local-Global Networks Code