Predicting occult lymph node metastasis in solid-predominantly invasive lung adenocarcinoma across multiple centers using radiomics-deep learning fusion model
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Predicting occult lymph node metastasis in solid-predominantly invasive lung adenocarcinoma across multiple centers using radiomics-deep learning fusion model ; volume:24 ; number:1 ; day:12 ; month:1 ; year:2024 ; pages:1-9 ; date:12.2024
Cancer imaging ; 24, Heft 1 (12.1.2024), 1-9, 12.2024
- Urheber
-
Tian, Weiwei
Yan, Qinqin
Huang, Xinyu
Feng, Rui
Shan, Fei
Geng, Daoying
Zhang, Zhiyong
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s40644-024-00654-2
- URN
-
urn:nbn:de:101:1-2024032515171623871221
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:55 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Tian, Weiwei
- Yan, Qinqin
- Huang, Xinyu
- Feng, Rui
- Shan, Fei
- Geng, Daoying
- Zhang, Zhiyong
- SpringerLink (Online service)
Ähnliche Objekte (12)
Endovascular stenting to treat an acute stroke caused by severe stenosis of the duplicated middle cerebral artery
Symmetry analysis for Whitham-Broer-Kaup equations
Simulation of performance evaluation model for medical-elderly care integrated institutions based on system dynamics
Strictly contractive Peaceman–Rachford splitting method to recover the corrupted low rank matrix
Signal-to-Noise Ratio in Estimating and Testing the Mediation Effect: Structural Equation Modeling versus Path Analysis with Weighted Composites
Using Threshold Autoregressive Models to Study Dyadic Interactions
Manufacturing carbon nanotube transistors using lift-off process: limitations and prospects
A novel hybrid adaptive differential evolution for global optimization
DNA Tetrahedron Delivery Enhances Doxorubicin-Induced Apoptosis of HT-29 Colon Cancer Cells
Fovea-UNet: detection and segmentation of lymph node metastases in colorectal cancer with deep learning
Molecular mechanism of histone variant H2A.B on stability and assembly of nucleosome and chromatin structures
Crack Localization in Hydraulic Turbine Blades Based on Kernel Independent Component Analysis and Wavelet Neural Network
Endovascular stenting to treat an acute stroke caused by severe stenosis of the duplicated middle cerebral artery
Symmetry analysis for Whitham-Broer-Kaup equations
Simulation of performance evaluation model for medical-elderly care integrated institutions based on system dynamics
Strictly contractive Peaceman–Rachford splitting method to recover the corrupted low rank matrix
Signal-to-Noise Ratio in Estimating and Testing the Mediation Effect: Structural Equation Modeling versus Path Analysis with Weighted Composites
Using Threshold Autoregressive Models to Study Dyadic Interactions
Manufacturing carbon nanotube transistors using lift-off process: limitations and prospects
A novel hybrid adaptive differential evolution for global optimization
DNA Tetrahedron Delivery Enhances Doxorubicin-Induced Apoptosis of HT-29 Colon Cancer Cells
Fovea-UNet: detection and segmentation of lymph node metastases in colorectal cancer with deep learning
Molecular mechanism of histone variant H2A.B on stability and assembly of nucleosome and chromatin structures
Crack Localization in Hydraulic Turbine Blades Based on Kernel Independent Component Analysis and Wavelet Neural Network
Endovascular stenting to treat an acute stroke caused by severe stenosis of the duplicated middle cerebral artery
Symmetry analysis for Whitham-Broer-Kaup equations
Simulation of performance evaluation model for medical-elderly care integrated institutions based on system dynamics
Strictly contractive Peaceman–Rachford splitting method to recover the corrupted low rank matrix
Signal-to-Noise Ratio in Estimating and Testing the Mediation Effect: Structural Equation Modeling versus Path Analysis with Weighted Composites
Using Threshold Autoregressive Models to Study Dyadic Interactions
Manufacturing carbon nanotube transistors using lift-off process: limitations and prospects
A novel hybrid adaptive differential evolution for global optimization
DNA Tetrahedron Delivery Enhances Doxorubicin-Induced Apoptosis of HT-29 Colon Cancer Cells
Fovea-UNet: detection and segmentation of lymph node metastases in colorectal cancer with deep learning
Molecular mechanism of histone variant H2A.B on stability and assembly of nucleosome and chromatin structures