Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2342
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method ; volume:18 ; number:1 ; day:3 ; month:12 ; year:2018 ; pages:1-10 ; date:12.2018
BMC medical imaging ; 18, Heft 1 (3.12.2018), 1-10, 12.2018
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12880-018-0286-0
- URN
-
urn:nbn:de:101:1-2019011920591957747894
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:49 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
- Jung, Hwejin
- Kim, Bumsoo
- Lee, Inyeop
- Lee, Junhyun
- Kang, Jaewoo
- SpringerLink (Online service)
Ähnliche Objekte (12)
Diagnosis of COVID-19 CT Scans Using Convolutional Neural Networks
Convolutional neural network for automated tooth segmentation on intraoral scans
Lithology classification of whole core CT scans using convolutional neural networks
Predicting acute pancreatitis severity with enhanced computed tomography scans using convolutional neural networks
Three-dimensional substructure measurements for the differential diagnosis of ground glass nodules
Convolutional neural network-based kidney volume estimation from low-dose unenhanced computed tomography scans
Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans
Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma
Longitudinal lung cancer prediction convolutional neural network model improves the classification of indeterminate pulmonary nodules
Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks
DeepISMNet: three-dimensional implicit structural modeling with convolutional neural network
DeepISMNet: Three-Dimensional Implicit Structural Modeling with Convolutional Neural Network
Diagnosis of COVID-19 CT Scans Using Convolutional Neural Networks
Convolutional neural network for automated tooth segmentation on intraoral scans
Lithology classification of whole core CT scans using convolutional neural networks
Predicting acute pancreatitis severity with enhanced computed tomography scans using convolutional neural networks
Three-dimensional substructure measurements for the differential diagnosis of ground glass nodules
Convolutional neural network-based kidney volume estimation from low-dose unenhanced computed tomography scans
Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans
Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma
Longitudinal lung cancer prediction convolutional neural network model improves the classification of indeterminate pulmonary nodules
Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks
DeepISMNet: three-dimensional implicit structural modeling with convolutional neural network
DeepISMNet: Three-Dimensional Implicit Structural Modeling with Convolutional Neural Network
Diagnosis of COVID-19 CT Scans Using Convolutional Neural Networks
Convolutional neural network for automated tooth segmentation on intraoral scans
Lithology classification of whole core CT scans using convolutional neural networks
Predicting acute pancreatitis severity with enhanced computed tomography scans using convolutional neural networks
Three-dimensional substructure measurements for the differential diagnosis of ground glass nodules
Convolutional neural network-based kidney volume estimation from low-dose unenhanced computed tomography scans
Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans
Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma
Longitudinal lung cancer prediction convolutional neural network model improves the classification of indeterminate pulmonary nodules
Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks
DeepISMNet: three-dimensional implicit structural modeling with convolutional neural network