Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1748-717X
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis ; volume:13 ; number:1 ; day:5 ; month:10 ; year:2018 ; pages:1-8 ; date:12.2018
Radiation oncology ; 13, Heft 1 (5.10.2018), 1-8, 12.2018
- Creator
-
Sun, Wenzheng
- Contributor
-
Jiang, Mingyan
Dang, Jun
Chang, Panchun
Yin, Fang-Fang
SpringerLink (Online service)
- DOI
-
10.1186/s13014-018-1140-9
- URN
-
urn:nbn:de:101:1-2018111501280460088954
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:01 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Sun, Wenzheng
- Jiang, Mingyan
- Dang, Jun
- Chang, Panchun
- Yin, Fang-Fang
- SpringerLink (Online service)
Other Objects (12)
Integration of deep learning and habitat radiomics for predicting the response to immunotherapy in NSCLC patients
Dynamic radiomics based on contrast-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma
A biomarker basing on radiomics for the prediction of overall survival in non–small cell lung cancer patients
Predicting the T790M mutation in non-small cell lung cancer (NSCLC) using brain metastasis MR radiomics: a study with an imbalanced dataset
Summary of Research: Overall Survival with Osimertinib in Resected EGFR-Mutated NSCLC
Predicting IDH genotype in gliomas using FET PET radiomics
Radiomics analysis based on CT for predicting lymph node metastasis and prognosis in duodenal papillary carcinoma
Radiomics analysis in predicting vascular invasion in gastric cancer based on enhanced CT: a preliminary study
Gross tumour volume radiomics for prognostication of recurrence & death following radical radiotherapy for NSCLC
Using radiomics for predicting the HPV status of oropharyngeal tumors
CT-based radiomics for predicting breast cancer radiotherapy side effects
Radiomics nomogram based on optimal VOI of multi-sequence MRI for predicting microvascular invasion in intrahepatic cholangiocarcinoma
Integration of deep learning and habitat radiomics for predicting the response to immunotherapy in NSCLC patients
Dynamic radiomics based on contrast-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma
A biomarker basing on radiomics for the prediction of overall survival in non–small cell lung cancer patients
Predicting the T790M mutation in non-small cell lung cancer (NSCLC) using brain metastasis MR radiomics: a study with an imbalanced dataset
Summary of Research: Overall Survival with Osimertinib in Resected EGFR-Mutated NSCLC
Predicting IDH genotype in gliomas using FET PET radiomics
Radiomics analysis based on CT for predicting lymph node metastasis and prognosis in duodenal papillary carcinoma
Radiomics analysis in predicting vascular invasion in gastric cancer based on enhanced CT: a preliminary study
Gross tumour volume radiomics for prognostication of recurrence & death following radical radiotherapy for NSCLC
Using radiomics for predicting the HPV status of oropharyngeal tumors
CT-based radiomics for predicting breast cancer radiotherapy side effects
Radiomics nomogram based on optimal VOI of multi-sequence MRI for predicting microvascular invasion in intrahepatic cholangiocarcinoma
Integration of deep learning and habitat radiomics for predicting the response to immunotherapy in NSCLC patients
Dynamic radiomics based on contrast-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma
A biomarker basing on radiomics for the prediction of overall survival in non–small cell lung cancer patients
Predicting the T790M mutation in non-small cell lung cancer (NSCLC) using brain metastasis MR radiomics: a study with an imbalanced dataset
Summary of Research: Overall Survival with Osimertinib in Resected EGFR-Mutated NSCLC
Predicting IDH genotype in gliomas using FET PET radiomics
Radiomics analysis based on CT for predicting lymph node metastasis and prognosis in duodenal papillary carcinoma
Radiomics analysis in predicting vascular invasion in gastric cancer based on enhanced CT: a preliminary study
Gross tumour volume radiomics for prognostication of recurrence & death following radical radiotherapy for NSCLC
Using radiomics for predicting the HPV status of oropharyngeal tumors
CT-based radiomics for predicting breast cancer radiotherapy side effects