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Papers Pulmonary Nodules Classification

“Pulmonary Nodules Classification” 태그가 달린 논문 3편 · 필터 해제

A Data Augmentation Method and the Embedding Mechanism for Detection and Classification of Pulmonary Nodules on Small Samples

2023-03-02 · Yang Liu, Yue-Jie Hou, Chen-Xin Qin, Xin-Hui Li 외

Detection of pulmonary nodules by CT is used for screening lung cancer in early stages.omputer aided diagnosis (CAD) based on deep-learning method can identify the suspected areas of pulmonary nodules in CT images, thus …

Data AugmentationDiagnosticGenerative Adversarial NetworkPulmonary Nodules Classification

Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification

2021-01-19 · 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. However, these deep models are typically o…

General ClassificationLung Nodule ClassificationNeural Architecture SearchPulmonary Nodules Classification

Towards automatic pulmonary nodule management in lung cancer screening with deep learning

2016-10-28 · Francesco Ciompi, Kaman Chung, Sarah J. van Riel, Arnaud Arindra Adiyoso Setio 외

The introduction of lung cancer screening programs will produce an unprecedented amount of chest CT scans in the near future, which radiologists will have to read in order to decide on a patient follow-up strategy. Accor…

Deep LearningLung Nodule ClassificationLung Nodule DetectionManagement+1
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