Research graph
References from Inter-Slice Representation Outweighs Bounding-Box Supervision Extent in Lightweight 2.5D Pulmonary Nodule Detection: A Whole-Volume Benchmark on LUNA16. Local targets link to admitted publications; unresolved targets remain external evidence.
Global Cancer Statistics 2022: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries
2024 · External reference
10.1056/nejmoa1102873
10.1056/nejmoa1102873 · External reference
Validation, Comparison, and Combination of Algorithms for Automatic Detection of Pulmonary Nodules in Computed Tomography Images: The LUNA16 Challenge
10.1016/j.media.2017.06.015 · 2017 · External reference
3D Deep Learning for Detecting Pulmonary Nodules in CT Scans
10.1093/jamia/ocy098 · 2018 · External reference
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks
2017 · External reference
10.1109/wacv.2018.00079
10.1109/wacv.2018.00079 · External reference
WTAM-YOLO: A YOLOv11-Based Method for Pulmonary Nodule Detection
10.1038/s41598-026-42029-6 · 2026 · External reference
Lung Nodule Detection Using a Multi-Scale Convolutional Neural Network and Global Channel Spatial Attention Mechanisms
10.1038/s41598-025-97187-w · 2025 · External reference
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation
10.1109/tmi.2015.2482920 · 2016 · External reference
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks
10.1109/tmi.2016.2536809 · 2016 · External reference
A Multi-View CNN Model to Predict Resolving of New Lung Nodules on Follow-up Low-Dose Chest CT
10.1186/s13244-025-02000-x · 2025 · External reference
10.3390/jimaging8070193
10.3390/jimaging8070193 · External reference
Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas
10.1148/radiol.2018180910 · 2019 · External reference
Perinodular Parenchymal Features Improve Indeterminate Lung Nodule Classification
10.1016/j.acra.2022.07.001 · 2023 · External reference
10.3390/s25144245
10.3390/s25144245 · External reference
Enhanced Pulmonary Nodule Detection Using a Transformer Framework with Dual Fusion and Gated Mechanism
10.1007/s40747-025-02032-2 · 2025 · External reference
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
10.1118/1.3528204 · 2011 · External reference
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
10.1007/s10278-013-9622-7 · 2013 · External reference
Unresolved reference
External reference
Area under the Free-Response ROC Curve (FROC) and a Related Summary Index
10.1111/j.1541-0420.2008.01049.x · 2009 · External reference
Unresolved reference
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Unresolved reference
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Unresolved reference
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A Simple Sequentially Rejective Multiple Test Procedure
1979 · External reference
10.1109/iccv.2017.74
10.1109/iccv.2017.74 · External reference
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
10.1007/s10278-013-9622-7 · ExternalCitation · doi-reference
Enhanced Pulmonary Nodule Detection Using a Transformer Framework with Dual Fusion and Gated Mechanism
10.1007/s40747-025-02032-2 · ExternalCitation · doi-reference
Perinodular Parenchymal Features Improve Indeterminate Lung Nodule Classification
10.1016/j.acra.2022.07.001 · ExternalCitation · doi-reference
Validation, Comparison, and Combination of Algorithms for Automatic Detection of Pulmonary Nodules in Computed Tomography Images: The LUNA16 Challenge
10.1016/j.media.2017.06.015 · ExternalCitation · doi-reference
Lung Nodule Detection Using a Multi-Scale Convolutional Neural Network and Global Channel Spatial Attention Mechanisms
10.1038/s41598-025-97187-w · ExternalCitation · doi-reference
WTAM-YOLO: A YOLOv11-Based Method for Pulmonary Nodule Detection
10.1038/s41598-026-42029-6 · ExternalCitation · doi-reference
10.1056/nejmoa1102873
10.1056/nejmoa1102873 · ExternalCitation · doi-reference
3D Deep Learning for Detecting Pulmonary Nodules in CT Scans
10.1093/jamia/ocy098 · ExternalCitation · doi-reference
10.1109/iccv.2017.74
10.1109/iccv.2017.74 · ExternalCitation · doi-reference
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation
10.1109/tmi.2015.2482920 · ExternalCitation · doi-reference
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks
10.1109/tmi.2016.2536809 · ExternalCitation · doi-reference
10.1109/wacv.2018.00079
10.1109/wacv.2018.00079 · ExternalCitation · doi-reference
Area under the Free-Response ROC Curve (FROC) and a Related Summary Index
10.1111/j.1541-0420.2008.01049.x · ExternalCitation · doi-reference
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
10.1118/1.3528204 · ExternalCitation · doi-reference
Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas
10.1148/radiol.2018180910 · ExternalCitation · doi-reference
A Multi-View CNN Model to Predict Resolving of New Lung Nodules on Follow-up Low-Dose Chest CT
10.1186/s13244-025-02000-x · ExternalCitation · doi-reference
10.3390/jimaging8070193
10.3390/jimaging8070193 · ExternalCitation · doi-reference
10.3390/s25144245
10.3390/s25144245 · ExternalCitation · doi-reference
