Department of Ultrasound, Gansu Provincial Hospital, Lanzhou 730000, Gansu, China.
J Healthc Eng. 2021 Nov 9;2021:8619251. doi: 10.1155/2021/8619251. eCollection 2021.
In order to solve the problem of low accuracy, high cost, and difficult detection of traditional algorithms, a new algorithm based on ultrasound imaging is proposed in this paper. The algorithm is based on fuzzy clustering to diagnose the disease and effectively improve the accuracy of the algorithm. By testing the actual scene, it effectively proves the effectiveness and accuracy of the algorithm, which can find and treat diseases in time and can be widely used and popularized in clinical research in China.
为了解决传统算法准确率低、成本高、检测困难的问题,本文提出了一种基于超声成像的新算法。该算法基于模糊聚类来诊断疾病,有效地提高了算法的准确性。通过对实际场景的测试,有效地证明了算法的有效性和准确性,能够及时发现和治疗疾病,可在我国临床研究中广泛应用和推广。