Automatic segmentation of glioma and its subregions is of great significance for diagnosis,
treatment and monitoring of disease. In this paper, an augmentation method, called …

Gliomas segmentation is a critical and challenging task in surgery and treatment, and it is
also the basis for subsequent evaluation of gliomas. Magnetic resonance imaging is …

Automatic brain tumor segmentation using several image processing techniques supports
early diagnosis and provides useful information for treatment planning. However, due to the …

Purpose: Gliomas are the most common primary brain malignancies, with varying degrees of
aggressiveness and prognosis. Understanding of tumor biology and intra-tumor …

With the growth of data information and the development of computer equipment, it is
extremely time-consuming and laborious to rely on the traditional manual segmentation of …

Glioma is the most common primary tumor in the skull, but it has no obvious boundary with
normal brain tissue and is difficult to completely remove. Currently, manual segmentation of …

The extraction of brain tumor tissues in 3D Brain Magnetic Resonance Imaging plays an
important role in diagnosis gliomas. In this paper, we use clinical data to develop an …

Accurate segmentation of different sub-regions of gliomas including peritumoral edema,
necrotic core, enhancing and non-enhancing tumor core using multimodal MRI scans has …

Tumor segmentation is of great importance for diagnosis and prognosis of brain cancer in
medical field. Because of the noise, inhomogeneous gray, diversity of tissue, bias among …

The automatic segmentation method of MRI brain tumors uses computer technology to
segment and label tumor areas and normal tissues, which plays an important role in …