A Novel Invasive Weed Optimization and its Variant for the Detection of Polycystic Ovary Syndrome.

IF 1.1 4区医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Current Medical Imaging Reviews Pub Date : 2024-09-18 DOI:10.2174/0115734056307615240823074030

R Saranya

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引用次数: 0

Abstract

Introduction: This study intends to provide a novel Invasive Weed Optimization (IWO) algorithm for the detection of Polycystic Ovary Syndrome (PCOS) from ultrasound ovarian images. PCOS is an intricate anarchy described by hyperandrogenemia and irregular menstruation. Indian women are increasingly finding reproductive disorders, namely PCOS.

Methods: The women having PCOS grow more small follicles in their ovaries. The radiologists take a look into women's ovaries by use of ultrasound scanning equipment to manually count the number of follicles and their size for fertility treatment. These may lead to error diagnosis.

Results: This paper proposed an automatic follicle detection system for identifying PCOS in the ovary using IWO. The performance of IWO is improved in Modified Invasive Weed Optimization (MIWO). This algorithm imitates the biological weeds' behavior. The MIWO is employed to obtain the optimal threshold by maximizing the between-class variance of the modified Otsu method. The efficiency of the proposed method has been compared with the well-known optimization technique called Particle Swarm Optimization (PSO) and with IWO.

Conclusion: Experimental results proved that the MIWO finds an optimal threshold higher than that of IWO and PSO.

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用于检测多囊卵巢综合征的新型侵袭性杂草优化及其变体。

简介本研究旨在提供一种新颖的入侵杂草优化（IWO）算法，用于从超声卵巢图像中检测多囊卵巢综合症（PCOS）。多囊卵巢综合征是一种复杂的无政府状态，表现为高雄激素血症和月经不调。印度妇女越来越多地发现生殖系统疾病，即多囊卵巢综合症：方法：患有多囊卵巢综合症的女性卵巢中会生长出更多的小卵泡。方法：患有多囊卵巢综合症的女性卵巢中会生长出更多的小卵泡。放射科医生会使用超声波扫描设备检查女性的卵巢，手动计算卵泡的数量和大小，以便进行生育治疗。这些都可能导致诊断错误：本文提出了一种利用 IWO 识别卵巢多囊卵巢综合症的自动卵泡检测系统。改进型入侵杂草优化算法（MIWO）提高了 IWO 的性能。该算法模仿了生物杂草的行为。MIWO 通过最大化修正大津法的类间方差来获得最佳阈值。将所提出方法的效率与著名的优化技术--粒子群优化（PSO）和 IWO 进行了比较：实验结果证明，MIWO 所找到的最佳阈值高于 IWO 和 PSO。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Current Medical Imaging Reviews 医学-核医学

CiteScore

2.60

自引率

0.00%

发文量

246

审稿时长

1 months

期刊介绍： Current Medical Imaging Reviews publishes frontier review articles, original research articles, drug clinical trial studies and guest edited thematic issues on all the latest advances on medical imaging dedicated to clinical research. All relevant areas are covered by the journal, including advances in the diagnosis, instrumentation and therapeutic applications related to all modern medical imaging techniques. The journal is essential reading for all clinicians and researchers involved in medical imaging and diagnosis.