Learn More
Texture features of the cell nucleus and chromatin as well as general topological or morphological features which used many cell image analysis contain important cellular diagnostic and prognostic information. In this paper, we describe the computerized method of nuclei and chromatin texture analysis of renal cell carcinoma image. For this study, 4 feature(More)
One of the most significant processes in cancer cell and tissue image analysis is the efficient extraction of features for grading purposes. This research applied two types of three-dimensional texture analysis methods to the extraction of feature values from renal cell carcinoma tissue images, and then evaluated the validity of the methods statistically(More)
object of this paper is to study of validity of three-dimensional texture features for the cell nuclei image classification. We expanded the GLCM (Gray Level Co-occurrence Matrix) and the GLRLM (Gray Level Run Length Matrix) to include three-dimensional textural information and created a new classification model. Then, we performed a comparative study using(More)
role in the era of molecular medicine. Optical imaging, a rising star in the filed of molecular imaging, largely consists of fluorescent imaging and bioluminescent imaging. Molecular imaging analysis will allow us to observe the incipience and progression of the disease. In this paper, we suggest image processing methods and develop software for(More)
  • 1