<div><p></p><p><b>Background.</b> The aim of this study was to evaluate two fully automatic segmentation methods in comparison with manual delineations for their use in delineating the heart on planning computed tomography (CT) used in radiotherapy for breast cancer.</p><p><b>Material and methods.</b> Automatic delineation of heart in 15 breast cancer patients was performed by two different automatic delineation systems. Analysis of accuracy and precision of the differences between manual and automatic delineations were evaluated on volume, mean dose, maximum dose and spatial distance differences. Two sets of manual delineations were used in the evaluation: 1) a set prior to common delineation guidelines; and 2) a second set repeated with a...
AbstractBackground and purposeWe evaluated the accuracy of three methods of estimating radiation dos...
<p><b>Background:</b> Manual delineation of structures in head and neck cancers is an extremely time...
BACKGROUND AND PURPOSE: To internally and externally validate an atlas based automated segmentation ...
Background and purpose: Quantifying radiation dose to cardiac substructures is important for researc...
Radiotherapy is a safe and effective treatment for many patients with cancer. However, incidental ra...
Incidental radiation exposure to the heart during lung cancer radiotherapy is associated with radiat...
Background and purpose We developed an automatic method to segment cardiac substructures given a ra...
Purpose: We evaluated the feasibility of using an automatic segmentation tool to delineate cardiac s...
Manual segmentation is the gold standard method for radiation therapy planning; however, it is time-...
BACKGROUND AND PURPOSE: To determine the extent of inter-observer variation in delineation of the he...
Background and purpose To determine the extent of inter-observer variation in delineation of the hea...
Purpose: Emerging evidence suggests that the heart is more radio-sensitive than previously assumed; ...
Background and Purpose: The heart is a complex anatomical organ and contouring the cardiac substruct...
BACKGROUND AND PURPOSE: The heart is a complex anatomical organ and contouring the cardiac substruct...
Purpose: A radiomics features classifier was implemented to evaluate segmentation quality of heart s...
AbstractBackground and purposeWe evaluated the accuracy of three methods of estimating radiation dos...
<p><b>Background:</b> Manual delineation of structures in head and neck cancers is an extremely time...
BACKGROUND AND PURPOSE: To internally and externally validate an atlas based automated segmentation ...
Background and purpose: Quantifying radiation dose to cardiac substructures is important for researc...
Radiotherapy is a safe and effective treatment for many patients with cancer. However, incidental ra...
Incidental radiation exposure to the heart during lung cancer radiotherapy is associated with radiat...
Background and purpose We developed an automatic method to segment cardiac substructures given a ra...
Purpose: We evaluated the feasibility of using an automatic segmentation tool to delineate cardiac s...
Manual segmentation is the gold standard method for radiation therapy planning; however, it is time-...
BACKGROUND AND PURPOSE: To determine the extent of inter-observer variation in delineation of the he...
Background and purpose To determine the extent of inter-observer variation in delineation of the hea...
Purpose: Emerging evidence suggests that the heart is more radio-sensitive than previously assumed; ...
Background and Purpose: The heart is a complex anatomical organ and contouring the cardiac substruct...
BACKGROUND AND PURPOSE: The heart is a complex anatomical organ and contouring the cardiac substruct...
Purpose: A radiomics features classifier was implemented to evaluate segmentation quality of heart s...
AbstractBackground and purposeWe evaluated the accuracy of three methods of estimating radiation dos...
<p><b>Background:</b> Manual delineation of structures in head and neck cancers is an extremely time...
BACKGROUND AND PURPOSE: To internally and externally validate an atlas based automated segmentation ...