radiomics analysis package Search Results


standardized environment for radiomics analysis (sera) package  (MathWorks Inc)
90
MathWorks Inc standardized environment for radiomics analysis (sera) package
Standardized Environment For Radiomics Analysis (Sera) Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/standardized environment for radiomics analysis (sera) package/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
standardized environment for radiomics analysis (sera) package - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
radiomics analysis package radiomics 1.0.9a  (Siemens Healthineers)
90
Siemens Healthineers radiomics analysis package radiomics 1.0.9a
Representative CT images with tumor segmentation by the <t>radiomics</t> analysis platform. (I) Axial views show a lobulated lung tumor for image segmentation. (II) Axial view, (III) coronal view, and (IV) sagittal view showed segmented lung tumors indicated by a yellow overlay. (V) Three-dimensional views of the segmented tumors. (A) (I-V) A 61-year-old male non-smoker, with EGFR wild-type lung adenocarcinoma. CT mediastinal window showed a solid mass in the upper lobe of the left lung with lobulation sign and a maximum diameter of about 20 mm. (B) (I-V) A 58-year-old male smoker, with lung adenocarcinoma of EGFR exon-19 deletion. CT mediastinal window showed a solid mass in the upper lobe of the right lung with a maximum diameter of about 35 mm, rough margin, and lobulated sign. (C) (I-V) A 48-year-old female non-smoker, with lung adenocarcinoma of EGFR exon-21 L858R mutation. CT mediastinal window showed a solid mass in the lower lobe of the left lung with a maximum diameter of about 36 mm, burrs, and lobulation. EGFR, epidermal growth factor receptor.
Radiomics Analysis Package Radiomics 1.0.9a, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/radiomics analysis package radiomics 1.0.9a/product/Siemens Healthineers
Average 90 stars, based on 1 article reviews
radiomics analysis package radiomics 1.0.9a - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
radiomics analysis package  (MathWorks Inc)
90
MathWorks Inc radiomics analysis package
Representative CT images with tumor segmentation by the <t>radiomics</t> analysis platform. (I) Axial views show a lobulated lung tumor for image segmentation. (II) Axial view, (III) coronal view, and (IV) sagittal view showed segmented lung tumors indicated by a yellow overlay. (V) Three-dimensional views of the segmented tumors. (A) (I-V) A 61-year-old male non-smoker, with EGFR wild-type lung adenocarcinoma. CT mediastinal window showed a solid mass in the upper lobe of the left lung with lobulation sign and a maximum diameter of about 20 mm. (B) (I-V) A 58-year-old male smoker, with lung adenocarcinoma of EGFR exon-19 deletion. CT mediastinal window showed a solid mass in the upper lobe of the right lung with a maximum diameter of about 35 mm, rough margin, and lobulated sign. (C) (I-V) A 48-year-old female non-smoker, with lung adenocarcinoma of EGFR exon-21 L858R mutation. CT mediastinal window showed a solid mass in the lower lobe of the left lung with a maximum diameter of about 36 mm, burrs, and lobulation. EGFR, epidermal growth factor receptor.
Radiomics Analysis Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/radiomics analysis package/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
radiomics analysis package - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
package of radiomics analysis  (MathWorks Inc)
90
MathWorks Inc package of radiomics analysis
Comparison between <t> radiomics </t> model and senior radiologists in training set.
Package Of Radiomics Analysis, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/package of radiomics analysis/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
package of radiomics analysis - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
standardised environment for radiomics analysis package  (MathWorks Inc)
90
MathWorks Inc standardised environment for radiomics analysis package
Comparison between <t> radiomics </t> model and senior radiologists in training set.
Standardised Environment For Radiomics Analysis Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/standardised environment for radiomics analysis package/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
standardised environment for radiomics analysis package - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
harmonic filters  (EcoDesign Inc)
90
EcoDesign Inc harmonic filters
Comparison between <t> radiomics </t> model and senior radiologists in training set.
Harmonic Filters, supplied by EcoDesign Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/harmonic filters/product/EcoDesign Inc
Average 90 stars, based on 1 article reviews
harmonic filters - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
open-source matlab package  (MathWorks Inc)
90
MathWorks Inc open-source matlab package
Comparison between <t> radiomics </t> model and senior radiologists in training set.
Open Source Matlab Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/open-source matlab package/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
open-source matlab package - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

Image Search Results


Representative CT images with tumor segmentation by the radiomics analysis platform. (I) Axial views show a lobulated lung tumor for image segmentation. (II) Axial view, (III) coronal view, and (IV) sagittal view showed segmented lung tumors indicated by a yellow overlay. (V) Three-dimensional views of the segmented tumors. (A) (I-V) A 61-year-old male non-smoker, with EGFR wild-type lung adenocarcinoma. CT mediastinal window showed a solid mass in the upper lobe of the left lung with lobulation sign and a maximum diameter of about 20 mm. (B) (I-V) A 58-year-old male smoker, with lung adenocarcinoma of EGFR exon-19 deletion. CT mediastinal window showed a solid mass in the upper lobe of the right lung with a maximum diameter of about 35 mm, rough margin, and lobulated sign. (C) (I-V) A 48-year-old female non-smoker, with lung adenocarcinoma of EGFR exon-21 L858R mutation. CT mediastinal window showed a solid mass in the lower lobe of the left lung with a maximum diameter of about 36 mm, burrs, and lobulation. EGFR, epidermal growth factor receptor.

Journal: Translational Lung Cancer Research

Article Title: 3D radiomics predicts EGFR mutation, exon-19 deletion and exon-21 L858R mutation in lung adenocarcinoma

doi: 10.21037/tlcr-20-122

Figure Lengend Snippet: Representative CT images with tumor segmentation by the radiomics analysis platform. (I) Axial views show a lobulated lung tumor for image segmentation. (II) Axial view, (III) coronal view, and (IV) sagittal view showed segmented lung tumors indicated by a yellow overlay. (V) Three-dimensional views of the segmented tumors. (A) (I-V) A 61-year-old male non-smoker, with EGFR wild-type lung adenocarcinoma. CT mediastinal window showed a solid mass in the upper lobe of the left lung with lobulation sign and a maximum diameter of about 20 mm. (B) (I-V) A 58-year-old male smoker, with lung adenocarcinoma of EGFR exon-19 deletion. CT mediastinal window showed a solid mass in the upper lobe of the right lung with a maximum diameter of about 35 mm, rough margin, and lobulated sign. (C) (I-V) A 48-year-old female non-smoker, with lung adenocarcinoma of EGFR exon-21 L858R mutation. CT mediastinal window showed a solid mass in the lower lobe of the left lung with a maximum diameter of about 36 mm, burrs, and lobulation. EGFR, epidermal growth factor receptor.

Article Snippet: Tumor segmentation and radiomic feature extraction We used a radiomics analysis package (Radiomics 1.0.9a, Siemens Healthineers) on a research platform (SyngoVia VB10b, Research Frontier, Siemens Healthineers) to three-dimensionally segment the tumor on CT images as a volume of interest and extracted radiomic features ( 21 ).

Techniques: Mutagenesis

Results of the logistic regression models to detect exon-21 L858R mutation in the test cohort

Journal: Translational Lung Cancer Research

Article Title: 3D radiomics predicts EGFR mutation, exon-19 deletion and exon-21 L858R mutation in lung adenocarcinoma

doi: 10.21037/tlcr-20-122

Figure Lengend Snippet: Results of the logistic regression models to detect exon-21 L858R mutation in the test cohort

Article Snippet: Tumor segmentation and radiomic feature extraction We used a radiomics analysis package (Radiomics 1.0.9a, Siemens Healthineers) on a research platform (SyngoVia VB10b, Research Frontier, Siemens Healthineers) to three-dimensionally segment the tumor on CT images as a volume of interest and extracted radiomic features ( 21 ).

Techniques: Mutagenesis

Comparison between radiomics model and senior radiologists in training set.

Journal: Frontiers in Oncology

Article Title: Ultrasound-Based Radiomics Can Classify the Etiology of Cervical Lymphadenopathy: A Multi-Center Retrospective Study

doi: 10.3389/fonc.2022.856605

Figure Lengend Snippet: Comparison between radiomics model and senior radiologists in training set.

Article Snippet: The radiomics parameters were extracted using a MATLAB (R2020a) package of radiomics analysis from Github (github.com/mvallieres/radiomics), and the statistical modeling was performed by R software (version 3.6.2).

Techniques: Comparison

Comparison between radiomics model and senior radiologists in test set.

Journal: Frontiers in Oncology

Article Title: Ultrasound-Based Radiomics Can Classify the Etiology of Cervical Lymphadenopathy: A Multi-Center Retrospective Study

doi: 10.3389/fonc.2022.856605

Figure Lengend Snippet: Comparison between radiomics model and senior radiologists in test set.

Article Snippet: The radiomics parameters were extracted using a MATLAB (R2020a) package of radiomics analysis from Github (github.com/mvallieres/radiomics), and the statistical modeling was performed by R software (version 3.6.2).

Techniques: Comparison

Area under the curve between the radiomics model and the senior radiologists in the test set.

Journal: Frontiers in Oncology

Article Title: Ultrasound-Based Radiomics Can Classify the Etiology of Cervical Lymphadenopathy: A Multi-Center Retrospective Study

doi: 10.3389/fonc.2022.856605

Figure Lengend Snippet: Area under the curve between the radiomics model and the senior radiologists in the test set.

Article Snippet: The radiomics parameters were extracted using a MATLAB (R2020a) package of radiomics analysis from Github (github.com/mvallieres/radiomics), and the statistical modeling was performed by R software (version 3.6.2).

Techniques:

Receiver operating characteristic between the radiomics model and radiologists in the whole set.

Journal: Frontiers in Oncology

Article Title: Ultrasound-Based Radiomics Can Classify the Etiology of Cervical Lymphadenopathy: A Multi-Center Retrospective Study

doi: 10.3389/fonc.2022.856605

Figure Lengend Snippet: Receiver operating characteristic between the radiomics model and radiologists in the whole set.

Article Snippet: The radiomics parameters were extracted using a MATLAB (R2020a) package of radiomics analysis from Github (github.com/mvallieres/radiomics), and the statistical modeling was performed by R software (version 3.6.2).

Techniques: