Automatic segmentation of brain tumour is the process of separating abnormal tissues from
normal tissues, such as white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) …

One of the most crucial tasks in any brain tumor detection system is the isolation of abnormal
tissues from normal brain tissues. Interestingly, domain of brain tumor analysis has …

The aim of this study was to computationally model, in an unsupervised manner, a manifold
of symmetry variations in normal brains, such that the learned manifold can be used to …

Osteosarcoma is a primary malignant bone tumor in children and adolescents with
significant morbidity and poor prognosis. Diffusion weighted imaging (DWI) plays a crucial …

Purpose Accuracy and consistency in RECIST (Response evaluation criteria in solid tumors)
measurements are crucial for treatment planning. Manual RECIST measurement is tedious …

Image segmentation, ie, dividing an image into its constituent's regions, is a decisive phase
in plentiful medical imaging studies to extract meaningful information such as shape …

摘要分类是医学图像在计算机辅助诊断和模式识别领域的一个研究热点. 精确地对人体解剖结构
和病变区域进行分类能够最大程度辅助医生更精确, 更快速地诊断病情. 针对医学图像的特殊性 …

Over the past decade, different image segmentation algorithms have been developed and
employed in segmenting or analyzing brain magnetic resonance imaging (MRI) scans in the …

Acute ischemic infarct can be quickly identified with Diffusion Weighted Imaging (DWI)
method. This research proposes to segment infarct areas in DWI dataset by applying Chan …

The requirement of product quality inspection in industries for product standardized leads to
a development of the quality inspection system. The problem is related to a manual …