NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation

Hao Tang; Chupeng Zhang; Xiaohui Xie

doi:10.1007/978-3-030-32226-7_30

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NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation

Hao Tang Chupeng Zhang Xiaohui Xie

Year: 2019 Lecture notes in computer science Pages: 266-274 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-32226-7_30

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Keywords:

Computer science Artificial intelligence Segmentation Pattern recognition (psychology) Nodule (geology) Deep learning Convolutional neural network Feature (linguistics) Subnet Reduction (mathematics)

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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

NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation

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Citation History

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