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Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT

IEEE transactions on medical imaging, 2019-04, Vol.38 (4), p.991-1004

2019

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A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning

Computers in biology and medicine, 2021-10, Vol.137, p.104806-104806, Article 104806

2021

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Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation

Medical image analysis, 2017-08, Vol.40, p.172-183

2017

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Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT

Medical image analysis, 2019-10, Vol.57, p.237-248

2019

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Nodule-CLIP: Lung nodule classification based on multi-modal contrastive learning

Computers in biology and medicine, 2024-06, Vol.175, p.108505-108505, Article 108505

2024

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An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network

IEEE journal of biomedical and health informatics, 2018-07, Vol.22 (4), p.1227-1237

2018

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Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs

Computers in biology and medicine, 2018-12, Vol.103, p.220-231

2018

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Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping

Medical image analysis, 2020-02, Vol.60, p.101628-101628, Article 101628

2020

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Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images

IEEE transactions on medical imaging, 2017-03, Vol.36 (3), p.802-814

2017

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Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review

Journal of digital imaging, 2020-06, Vol.33 (3), p.655-677

2020

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Improved diagnostic yield for lung nodules with digital tomosynthesis‐corrected navigational bronchoscopy: Initial experience with a novel adjunct

Respirology (Carlton, Vic.), 2020-02, Vol.25 (2), p.206-213

2020

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Robotic-Assisted Navigation Bronchoscopy as a Paradigm Shift in Peripheral Lung Access

Lung, 2021-04, Vol.199 (2), p.177-186

2021

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Design of lung nodules segmentation and recognition algorithm based on deep learning

BMC bioinformatics, 2021-11, Vol.22 (Suppl 5), p.1-314, Article 314

2021

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The role of radiology in addressing the challenge of lung cancer after lung transplantation

European radiology, 2022-12, Vol.32 (12), p.8182-8190

2022

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Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation

Journal of digital imaging, 2020-06, Vol.33 (3), p.678-684

2020

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PET/MRI assessment of lung nodules in primary abdominal malignancies: sensitivity and outcome analysis

European journal of nuclear medicine and molecular imaging, 2021-06, Vol.48 (6), p.1976-1986

2021

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Lung nodule diagnosis and cancer histology classification from computed tomography data by convolutional neural networks: A survey

Computers in biology and medicine, 2022-07, Vol.146, p.105691-105691, Article 105691

2022

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SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching

Medical image analysis, 2022-01, Vol.75, p.102287-102287, Article 102287

2022

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Improvement in Follow-up Imaging With a Patient Tracking System and Computerized Registry for Lung Nodule Management

Journal of the American College of Radiology, 2021-07, Vol.18 (7), p.937-946

2021

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A survey and taxonomy of 2.5D approaches for lung segmentation and nodule detection in CT images

Computers in biology and medicine, 2023-10, Vol.165, p.107437-107437, Article 107437

2023

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Lung nodule classification using deep feature fusion in chest radiography

Computerized medical imaging and graphics, 2017-04, Vol.57, p.10-18

2017

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Robust deep learning from incomplete annotation for accurate lung nodule detection

Computers in biology and medicine, 2024-05, Vol.173, p.108361-108361, Article 108361

2024

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Diagnostic value of circulating miRNA in the benign and malignant lung nodules: A systematic review and meta-analysis

Medicine (Baltimore), 2023-11, Vol.102 (46), p.e35857-e35857

2023

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Percutaneous computed tomography guided biopsy of sub-solid pulmonary nodules: differentiating solid from ground glass components at the time of biopsy

Clinical imaging, 2021-01, Vol.69, p.332-338

2021

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Development and outcomes of a comprehensive multidisciplinary incidental lung nodule and lung cancer screening program

BMC pulmonary medicine, 2020-04, Vol.20 (1), p.115-115, Article 115

2020

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Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT

A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning

Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation

Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT

Nodule-CLIP: Lung nodule classification based on multi-modal contrastive learning

An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network

Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs

Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping

Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images

Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review

Improved diagnostic yield for lung nodules with digital tomosynthesis‐corrected navigational bronchoscopy: Initial experience with a novel adjunct

Robotic-Assisted Navigation Bronchoscopy as a Paradigm Shift in Peripheral Lung Access

Design of lung nodules segmentation and recognition algorithm based on deep learning

The role of radiology in addressing the challenge of lung cancer after lung transplantation

Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation

PET/MRI assessment of lung nodules in primary abdominal malignancies: sensitivity and outcome analysis

Lung nodule diagnosis and cancer histology classification from computed tomography data by convolutional neural networks: A survey

SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching

Improvement in Follow-up Imaging With a Patient Tracking System and Computerized Registry for Lung Nodule Management

A survey and taxonomy of 2.5D approaches for lung segmentation and nodule detection in CT images

Lung nodule classification using deep feature fusion in chest radiography

Robust deep learning from incomplete annotation for accurate lung nodule detection

Diagnostic value of circulating miRNA in the benign and malignant lung nodules: A systematic review and meta-analysis

Percutaneous computed tomography guided biopsy of sub-solid pulmonary nodules: differentiating solid from ground glass components at the time of biopsy

Development and outcomes of a comprehensive multidisciplinary incidental lung nodule and lung cancer screening program

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