Sri Ram Nallamani Yadava Arts and Science College, Manonmaniam Sundaranar University, Tirunelveli, India.
Department of Information Technology, Sri Ram Nallamani Yadava college of Arts and Science, Manonmaniam Sundaranar University, Tirunelveli, India.
Biomed Res Int. 2023 Feb 21;2023:1742891. doi: 10.1155/2023/1742891. eCollection 2023.
Cancer is characterized by abnormal cell growth and proliferation, which are both diagnostic indicators of the disease. When cancerous cells enter one organ, there is a risk that they may spread to adjacent tissues and eventually to other organs. Cancer of the cervix of the uterus often initially manifests itself in the uterine cervix, which is located at the very bottom of the uterus. Both the growth and death of cervical cells are characteristic features of this condition. False-negative results provide a significant moral dilemma since they may cause women to get an incorrect diagnosis of cancer, which in turn can result in the woman's premature death from the disease. False-positive results do not raise any significant ethical concerns; but they do require a patient to go through an expensive and time-consuming treatment process, and they also cause the patient to experience tension and anxiety that is not warranted. In order to detect cervical cancer in its earliest stages in women, a screening procedure known as a Pap test is often performed. This article describes a technique for improving images using Brightness Preserving Dynamic Fuzzy Histogram Equalization. To individual components and find the right area of interest, the fuzzy c-means approach is applied. The images are segmented using the fuzzy c-means method to find the right area of interest. The feature selection algorithm is the ACO algorithm. Following that, categorization is carried out utilizing the CNN, MLP, and ANN algorithms.
癌症的特征是异常细胞生长和增殖，这两者都是疾病的诊断指标。当癌细胞进入一个器官时，它们有可能扩散到邻近的组织，并最终扩散到其他器官。子宫颈癌症通常最初表现为位于子宫底部的子宫颈。宫颈细胞的生长和死亡都是这种情况的特征。假阴性结果提供了一个重大的道德困境，因为它们可能导致妇女对癌症的错误诊断，从而导致妇女过早死于该疾病。假阳性结果不会引起任何重大的伦理问题；但是，它们确实需要患者经历昂贵且耗时的治疗过程，并且还会导致患者感到不必要的紧张和焦虑。为了在女性中尽早发现宫颈癌，通常会进行称为巴氏涂片检查的筛查程序。本文描述了一种使用亮度保持动态模糊直方图均衡化来改善图像的技术。为了找到感兴趣的区域，应用了模糊 C 均值方法来对个体分量和感兴趣的区域进行定位。使用模糊 C 均值方法对图像进行分割，以找到感兴趣的区域。特征选择算法是蚁群算法。然后，使用 CNN、MLP 和 ANN 算法进行分类。
