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首页> 外文会议>IEEE International Symposium on Biomedical Imaging: From Nano to Macro >Detection and retrieval of cysts in joint ultrasound B-mode and elasticity breast images
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Detection and retrieval of cysts in joint ultrasound B-mode and elasticity breast images

机译：联合超声B型和弹性乳房图像中囊肿的检测和检索

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Distinguishing cysts from other tumors is a routine clinical practice for diagnosing breast cancer. It has shown that more accurate diagnosis can be achieved by combining elasticity images with traditional B-mode ultrasound images [1]. In this paper, we propose a fully automatic system to detect cysts jointly in both B-mode and elasticity images. It is based on database-guided techniques that learn the knowledge of cyst appearance automatically from B-mode and elasticity images in a database. Further, for a detected cyst in a query image, the cysts with similar image appearance in the database are retrieved to improve diagnostic accuracy and confidence. In the experiment, we show that our system achieves high sensitivity and specificity in cyst diagnosis.
机译：将囊肿与其他肿瘤区分开是诊断乳腺癌的常规临床实践。结果表明，通过将弹性图像与传统的B型超声图像相结合，可以实现更准确的诊断[1]。在本文中，我们提出了一种全自动系统，可以同时检测B型和弹性图像中的囊肿。它基于数据库指导的技术，可从数据库中的B型和弹性图像自动了解囊肿外观的知识。此外，对于查询图像中检测到的囊肿，可检索数据库中具有相似图像外观的囊肿，以提高诊断准确性和置信度。在实验中，我们表明我们的系统在囊肿诊断中达到了高灵敏度和特异性。

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