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Statistical validation of image segmentation quality based on a spatial overlap index.
TLDR
The DSC value is a simple and useful summary measure of spatial overlap, which can be applied to studies of reproducibility and accuracy in image segmentation, and may be adapted for similar validation tasks. Expand
Development and evaluation of an efficient approach to volumetric arc therapy planning.
An efficient method for volumetric intensity modulated arc therapy (VMAT) planning was developed, where a single arc (360 degrees or less) is delivered under continuous variation of multileafExpand
Adaptive, template moderated, spatially varying statistical classification
TLDR
A novel image segmentation algorithm was developed, in which an explicit anatomical template is used to moderate the segmentation obtained by statistical classification, which forms an adaptive, template moderated, spatially varying statistical classification (SVC). Expand
Automated segmentation of MR images of brain tumors.
TLDR
The automated method allowed rapid identification of brain and tumor tissue with an accuracy and reproducibility comparable to those of manual segmentation, making automated segmentation practical for low-grade gliomas and meningiomas. Expand
Automated Segmentation of MRI of Brain Tumors
TLDR
The automated method allows the rapid identification of brain and tumor tissue with accuracy and reproducibility comparable to manual segmentation making automated segmentation practical for low grade gliomas and meningiomas. Expand
Adaptive Template Moderated Spatially Varying Statistical Classification
TLDR
A novel image segmentation algorithm was developed, in which an explicit anatomical template is used to moderate the segmentation obtained by statistical classification, which forms an adaptive, template moderated, spatially varying statistical classification (SVC). Expand
Automated 3-D PDM construction from segmented images using deformable models
TLDR
A novel method for the automated construction of three-dimensional PDM from segmented images based on a novel deformable model technique is presented and it is demonstrated that the method accurately represents and predicts shapes. Expand
Assessment of a model-based deformable image registration approach for radiation therapy planning.
TLDR
Surface-based deformable image registration enables the quantification of geometrical change in normal tissue and tumor with acceptable accuracy and speed. Expand
Automated model-based organ delineation for radiotherapy planning in prostatic region.
TLDR
A framework for organ delineation in radiotherapy planning is presented, including automated 3D model-based segmentation, as well as tools for interactive corrections, which demonstrated that the proposed approach is significantly more efficient than manual contouring in two-dimensional slices. Expand
Shape Constrained Deformable Models for 3D Medical Image Segmentation
TLDR
This work presents an approach which embeds an active shape model into an elastically deformable surface model, and combines the advantages of both approaches, and leads reliably to a very good overall segmentation. Expand
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