Cervical cancer histology image identification method based on texture and lesion area features

Abstract

The issue of an automated approach for detecting cervical cancer is proposed to improve the accuracy of recognition. Firstly, the cervical cancer histology source images are needed to use image preprocessing for reducing the impact brought by noise of images as well as the impact on subsequent precise feature extraction brought by irrelevant background. Secondly, the images are grouped into ten vertical images and the information of texture feature is extracted by Grey Level Co-occurrence Matrix (GLCM). GLCM is an effective tool to analyze the features of texture. The textures of different diseases in the source image of Cervical Cancer Histology (such as contrast, correlation, entropy, uniformity and energy, etc.) can all be obtained in this way. Thirdly, the image is segmented by using K-means clustering and Marker-controlled watershed Algorithm. And each vertical image is divided into three layers to calculate the areas of different layers. Based on GLCM and lesion area features, the tissues are investigated with segmentation by using Support Vector Machine (SVM) method. Finally, the results show that it is effective and feasible to recognize cervical cancer by automated approach and verified by experiment.

Computer-Assisted Screening for Cervical Cancer Using Digital Image Processing of Pap Smear Images

“…The main problem in this approach is over-segmentation problems [24]. In feature extraction, mostly used features are shape [25], texture [26], and color features. The major advantage of using texture attribute is its simplicity.…”

Rising Mortality Rate of Cervical Cancer in Younger Women in Urban China

“…3 Cervical cancer is one of the most preventable forms of cancer. There has also been significant improvement in screening, 4-8 diagnosis, [9][10][11] treatment, [12][13][14][15] and even chemoprevention [16][17][18] for cervical cancer. In the past decade, much effort has been made in China to reduce the burden of cervical cancer.…”

Chromatin textural parameters of blood neutrophils are associated with stress levels in patients with recurrent depressive disorder

“…Игор Пантић 1,2 , Драга Димитријевић 3 , Ивана Сташевић-Карличић 3 , Марта Јеремић 1 , Ана Старчевић 4 , Синиша Ристић 5 , Агата Блахнио 6 , Анета Прзепиорка 6 1 Универзитет у Београду, Медицински факултет, Институт за медицинску физиологију, Београд, Србија; 2 Универзитет у Хаифи, Хаифа, Израел; 3 Клиника за психијатријске болести "Др Лаза Лазаревић", Београд, Србија; 4 Универзитет у Београду, Медицински факултет, Институт за анатомију "Нико Миљанић", Београд, Србија; 5 Универзитет у Источном Сарајеву, Фоча, Република Српска, Босна и Херцеговина; 6 Католички универзитет "Јован Павле II", Лублин, Пољска…”

“…Textural parameters of tissue architecture were shown to be a potentially important addition to conventional cell biology and histology methods [5,6]. For example, in a study published in 2009, Shamir and associates demonstrated that these features, when calculated on muscle tissue in an animal experimental model, can be a possible indicator of structural deterioration during physiological aging.…”