[基于SE-CaraNet的最大强度投影图像上的内动脉瘤自动检测方法]
Peirui Bai1, Xuefeng Song1, Qingyi Liu1
1School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590, P. R. China.
概括
本研究引入了一种全方位最大强度投影 (MIP) 方法,以改善内动脉瘤的检测. 这种新的方法提高了从MRA图像中识别这些关键血管疾病的准确性和特异性.
科学领域:
- 医疗成像医学成像
- 放射学 放射学是一门学科.
- 人工智能的人工智能
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