论文标题
用于自动组织的光谱GUI和T1加权乳房MR图像的病变分割
Spectral GUI for Automated Tissue and Lesion Segmentation of T1 Weighted Breast MR Images
论文作者
论文摘要
我们提出了Spectral GUI，这是一种跨层面乳房MR图像分析工具，旨在通过图形用户界面（GUI）促进T1加权乳腺MR图像中纤维腺组织和病变的分割。光谱Guir使用光谱阁楼法[1]进行乳房MR图像分割。它不仅是互动的，而且同时稳定而迅速。由于没有任何机器学习算法，它显示出极高的执行速度，其开销最少。结果的准确性是使用绩效指标和专家组成的同时测量的。该工具的有效性和适用性在论文中与传统的机器学习原理形成鲜明对比，并确立了它在图像分析领域的合格工具的明确基础。
We present Spectral GUI, a multiplatform breast MR image analysis tool designed to facilitate the segmentation of fibro glandular tissues and lesions in T1 weighted breast MR images via a graphical user interface (GUI). Spectral GUIR uses spectrum loft method [1] for breast MR image segmentation. Not only is it interactive, but robust and expeditious at the same time. Being devoid of any machine learning algorithm, it shows exceptionally high execution speed with minimal overheads. The accuracy of the results has been simultaneously measured using performance metrics and expert entailment. The validity and applicability of the tool are discussed in the paper along with a crisp contrast with traditional machine learning principles, establishing the unequivocal foundation of it as a competent tool in the field of image analysis.
