… , we segmented brain MR images into healthy tissues such as GM, WM, and CSF along
with the diseased tissues, tumor, and edema. Twenty patients suffering from the glial tumor are …

… Our driving application is the segmentation of brain tissue and tumors from three-… Our goal
is a high-quality segmentation of healthy tissue and a precise delineation of tumor boundaries. …

… the model of the normal tissues and the geometric and spatial model of tumor and edema.
It … It segments the whole brain, including healthy tissue types, and automatically identifies …

… the EMS segmentation (white matter, grey matter, csf), we add a new class for tumor tissue.
… The method provides a good quality of segmentation of healthy tissue structures and of the …

… values of a d in tumor tissue, and very low values of a d in healthy tissue. The selection of …
blood vessel regions than in tumor tissue and is not likely to spread to healthy tissue at all. This …

… Since T1w allows for an easy annotation of the healthy tissues, it has become the most …
In the study of brain tumor segmentation, brain tumor was segmented into tissue classes …

… (MR) images may aid in tumor treatment by tracking the progress of tumor growth and/or …
segmentation method which separates non-enhancing brain tumors from healthy tissues in MR …

… between tumor and healthy tissue. This … segmentation can address this problem. Colorizing
the data a priori accentuates the tissue density differences between tumor and healthy tissue, …

… in tumor appearance across modalities. We augment a probabilistic atlas of healthy tissue
priors with a latent atlas of the lesion and derive the estimation algorithm to extract tumor …

… Brain tumors may belong to one or both of the following categories: mass-effect, in which
the diseased tissue displaces healthy tissue; and infiltrating, in which healthy tissue has …