Spectral GUI for Automated Tissue and Lesion Segmentation of T1 Weighted Breast MR Images
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.
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BIG-bench Machine LearningImage SegmentationLesion SegmentationSegmentationSemantic SegmentationMethods 이 논문이 사용한 방법론
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