Image segmentation is often described as partitioning an image into a finite number of
semantically non-overlapping regions. In medical applications, it is a fundamental process in …

Segmentation of the object of interest is a difficult step in the analysis of digital images. Fully
automatic methods sometimes fail, producing incorrect results and requiring the intervention …

A framework of fuzzy information fusion is proposed in this paper to automatically segment
tumor areas of human brain from multispectral magnetic resonance imaging (MRI) such as …

In this study, a novel method is proposed for the detection of tumor in magnetic resonance
(MR) brain images. The performance of the novel method is investigated on one phantom …

Segmentation of tumor regions in mammograms is not easy due to the low contrast and the
fuzzy nature of the boundaries of malignant tumors. General image segmentation …

摘要针对脑肿瘤磁核共振成像(MRI) 中噪声, 低对比度, 脑肿瘤边界模糊等原因造成脑肿瘤分割
不足的问题, 提出一种改进的连续型最大流算法脑肿瘤MRI 三维分割方法. 针对Flair, T1C 和T2 …

Defining criteria to determine precisely the boundaries of masses in mammograms is a
difficult task. The problem is compounded by the fact that most malignant tumors possess …

Unlike for other brain tumors, there has been little work on the automatic segmentation of
primary central nervous system (CNS) lymphomas. This is a challenging task due the highly …

To address the issues of the relatively small size of brain tumor image datasets, severe class
imbalance, and low precision in existing segmentation algorithms for brain tumor images …

Objective We propose a hybrid interactive approach for the segmentation of anatomic
structures in medical images with higher accuracy at lower user interaction cost. Materials …