False Positive Reduction of Pulmonary Nodule on CT image using Attention-based Multiple Instance Learning

Author:

Nguyen Chi Cuong1ORCID,Tran Giang Son1ORCID,Nguyen Vincent2ORCID

Affiliation:

1. University of Science and Technology of Hanoi, Vietnam

2. University of Orleans, France

Publisher

ACM

Reference10 articles.

1. 3D Convolutional Neural Networks Fusion Model for Lung Nodule Detection onClinical CT Scans

2. George Cybenko . 1989. Approximation by superpositions of a sigmoidal function. Mathematics of control, signals and systems 2, 4 ( 1989 ), 303–314. George Cybenko. 1989. Approximation by superpositions of a sigmoidal function. Mathematics of control, signals and systems 2, 4 (1989), 303–314.

3. Salsabil Amin El-Regaily , Mohammed Abdel Megeed Salem , Mohamed Hassan Abdel Aziz, and Mohamed Ismail Roushdy. 2020 . Multi-view Convolutional Neural Network for lung nodule false positive reduction. Expert systems with applications 162 (2020), 113017. Salsabil Amin El-Regaily, Mohammed Abdel Megeed Salem, Mohamed Hassan Abdel Aziz, and Mohamed Ismail Roushdy. 2020. Multi-view Convolutional Neural Network for lung nodule false positive reduction. Expert systems with applications 162 (2020), 113017.

4. Maximilian Ilse , Jakub Tomczak , and Max Welling . 2018 . Attention-based deep multiple instance learning . In International conference on machine learning. PMLR, 2127–2136 . Maximilian Ilse, Jakub Tomczak, and Max Welling. 2018. Attention-based deep multiple instance learning. In International conference on machine learning. PMLR, 2127–2136.

5. Detection of Lung Nodules on CT Images based on the Convolutional Neural Network with Attention Mechanism

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