Methods for Extracting Features of Adenocarcinoma Cell Clumps in Automated Uterine Cancer Cytology
スポンサーリンク
概要
- 論文の詳細を見る
Clumps of adenocarcinoma are found in about 10% of cytologically positive findings in mass screening of uterine cancer. Since they are not easily dispersed into individual cells, prescreening machines designed to examine individual cells fail to detect their presence. This paper presents two feature extraction methods, global and local, for the recognition of such cell clumps. The global feature extraction method is designed for prescreening machines, to extract two features utilizing digital image processing. One feature is an Euler number. A thresholded binary image is shrunk and propagated, so that only large objects corresponding to cell clumps remain. The Euler number of the remaining objects is a good measure of overlap of nuclei, one of morphological features of adenocarcinoma cell clumps. Another extracted feature is a correlation coefficient of binary images obtained at two different threshold levels. This value indicates the interior structure of the object, such as the amount of cytoplasm. Experiments using 79 samples, consisting of adenocarcinoma cell clumps, normal cell clumps, white blood cell clumps, and dust particles, yielded good results : i.e., false negative proved zero and false positive rate was 11%. The local feature extraction method is intended to examine the correspondence between morphological features described by medical doctors and the parameters extracted by machine. In this method each individual nucleus of a cell clump is examined. The center points and the radii of nuclei are computed by the process based mostly on the distance transformation for binary images. The variation in the distribution of radius and minimum distance among nuclei shows a good correspondence with the morphological features, i. e., irregularity of nuclear size, and irregularity of distance among nuclei.
- 一般社団法人 日本生体医工学会の論文
一般社団法人 日本生体医工学会 | 論文
- Evaluating the Workload Reduction of Automatic Vital Data Transmission
- Mental Fatigue Measurement Based on the Changes in Flicker Perception Threshold using Consumer Mobile Devices
- A Theoretical Study on a Computational Algorithm for Human Posture Estimation Based on Motion Capture of a Small Number of Markers
- Latest microscopic technique. From the principle to application. Development of three-dimensional microscopic system for operation of mini-pig fertilized eggs.
- A Study of the Automation of Cytodiagnosis (The Second Report):Cytophotometry Using Photomicroscanner and a Trial of Data-processing