Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection

Bum-Chae Kim; Jee Seok Yoon; Jun-Sik Choi; Heung‐Il Suk

doi:10.1016/j.neunet.2019.03.003

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Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection

Bum-Chae Kim Jee Seok Yoon Jun-Sik Choi Heung‐Il Suk

Year: 2019 Journal: Neural Networks Vol: 115 Pages: 1-10 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2019.03.003

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Keywords:

False positive paradox Computer science Convolutional neural network Python (programming language) Pattern recognition (psychology) Artificial intelligence Nodule (geology) False positive rate Margin (machine learning) Feature (linguistics) Machine learning Biology

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Topics

Lung Cancer Diagnosis and Treatment

Health Sciences → Medicine → Pulmonary and Respiratory Medicine

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Radiomics and Machine Learning in Medical Imaging

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection

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