Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification

19 Jan 2021 Hanliang Jiang Fuhao Shen Fei Gao Weidong Han

Automatic pulmonary nodules classification is significant for early diagnosis of lung cancers. Recently, deep learning techniques have enabled remarkable progress in this field... (read more)

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Datasets


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Lung Nodule Classification LIDC-IDRI NASLung (ours) Accuracy 90.77 # 3
Neural Architecture Search LIDC-IDRI NASLung (ours) Specificity (VEB+) 95.04 # 1
F1 score 0.8929 # 1

Methods used in the Paper


METHOD TYPE
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