<p>A: First, we performed five manual delineations and six 3D-Slicer segmentations (three observers twice) on twenty lung tumors. B: Second, fifty-six radiomic features quantifying tumor intensity, texture and shape were extracted from these segmentations. C: Third, the resulting feature matrices were compared for robustness of the feature values.</p
The turquoise area (white arrow) represents the manually contoured tumor on post contrast CT and the...
PURPOSE: Manual segmentation of lung tumors is observer dependent and time-consuming but an importan...
Contains fulltext : 232784.pdf (Publisher’s version ) (Open Access)BACKGROUND: Rad...
1. Generation of the rim and exterior contours based on segmented tumor contour. 2. Extraction of th...
Computer-assisted analysis of three-dimensional imaging data (radiomics) has received a lot of resea...
PURPOSE:To evaluate the uncertainty of radiomics features from contrast-enhanced breath-hold helical...
Lung tumors are heterogeneous entities consisting of distinct intra-tumor regions with different bio...
Due to advances in the acquisition and analysis of medical imaging, it is currently possible to quan...
Due to advances in the acquisition and analysis of medical imaging, it is currently possible to quan...
Radiomics is to provide quantitative descriptors of normal and abnormal tissues during classificatio...
Artificial intelligence and radiomics have the potential to revolutionise cancer prognostication and...
Variability between oncologists in defining the tumor during radiation therapy planning can be as h...
Radiomics is to provide quantitative descriptors of normal and abnormal tissues during classificatio...
Purpose: The aim of this methods work is to explore the different behavior of radiomic features resu...
The lung cancer is the principle cause of the worldwide deaths and its prognosis is poor with a 5-ye...
The turquoise area (white arrow) represents the manually contoured tumor on post contrast CT and the...
PURPOSE: Manual segmentation of lung tumors is observer dependent and time-consuming but an importan...
Contains fulltext : 232784.pdf (Publisher’s version ) (Open Access)BACKGROUND: Rad...
1. Generation of the rim and exterior contours based on segmented tumor contour. 2. Extraction of th...
Computer-assisted analysis of three-dimensional imaging data (radiomics) has received a lot of resea...
PURPOSE:To evaluate the uncertainty of radiomics features from contrast-enhanced breath-hold helical...
Lung tumors are heterogeneous entities consisting of distinct intra-tumor regions with different bio...
Due to advances in the acquisition and analysis of medical imaging, it is currently possible to quan...
Due to advances in the acquisition and analysis of medical imaging, it is currently possible to quan...
Radiomics is to provide quantitative descriptors of normal and abnormal tissues during classificatio...
Artificial intelligence and radiomics have the potential to revolutionise cancer prognostication and...
Variability between oncologists in defining the tumor during radiation therapy planning can be as h...
Radiomics is to provide quantitative descriptors of normal and abnormal tissues during classificatio...
Purpose: The aim of this methods work is to explore the different behavior of radiomic features resu...
The lung cancer is the principle cause of the worldwide deaths and its prognosis is poor with a 5-ye...
The turquoise area (white arrow) represents the manually contoured tumor on post contrast CT and the...
PURPOSE: Manual segmentation of lung tumors is observer dependent and time-consuming but an importan...
Contains fulltext : 232784.pdf (Publisher’s version ) (Open Access)BACKGROUND: Rad...