DocumentCode :
2339228
Title :
The Research and Exploration of Soft X-Ray Microscopy on the Image Identification System of Squamocellular Cancer of Esophagus
Author :
Hao Jian ; Zhang Fan
Author_Institution :
No. 117 Hosp., Dept. of Pulmonary Med., PLA, Hangzhou, China
fYear :
2010
fDate :
23-25 April 2010
Firstpage :
1
Lastpage :
4
Abstract :
Nowadays, soft X-Ray microscopy technology is one of the hottest methods that researches and observes the biological samples of natural state, whose resolution is higher than the imaging drawing of optical microscope and near to the imaging drawing of electron microscope. The technology is simple for the preparation of biological sample, which needs only ultramicrocut. And the working procedure of traditional pathology check, such as freezing, sealing wax, dehydration and dyeing, etc. isn´t needed. A kind of image recognition system is selected in the paper, which identifies and researches the tissue morphological characteristics of ultrastructure imaging drawing of squamocellular cancer of esophagus obtained by soft X-Ray microscopy. The system mainly consists of components of image preprocessing, image segmentation, cellular feature extraction and cellular feature recognition, etc. Image preprocessing includes grayscale transformation, histogram adjustment, etc. Image segmentation includes segmentation based on the threshold, image processing based on the structure morphology of cell tissue, and edge detection, etc. In cellular feature extraction, the method of extracting area connected is used. And in cellular feature recognition, the judgment of area ratio of nucleus and cytoplasm is adopted. According to the morphology characteristics of tissue ultrastructure of squamocellular cancer of esophagus, a kind of cancer identification method based on the area threshold is employed emphatically in the paper, aiming at distinguishing the normal cell and cancer cell successfully. The technology application on the aspects of clinical diagnosis and differentiate diagnosis of the image recognition system in the paper still needs to be researched further.
Keywords :
X-ray microscopy; cancer; cellular biophysics; diagnostic radiography; edge detection; feature extraction; image recognition; image segmentation; medical image processing; tumours; cell tissue; cellular feature extraction; cellular feature recognition; clinical diagnosis; cytoplasm; edge detection; esophagus; grayscale transformation; histogram adjustment; image identification system; image preprocessing; image recognition system; image segmentation; nucleus; soft X-ray microscopy; squamocellular cancer; structure morphology; tissue morphological characteristics; ultrastructure imaging drawing; Cancer; Electron microscopy; Esophagus; Feature extraction; High-resolution imaging; Image recognition; Image segmentation; Optical imaging; Optical microscopy; X-ray imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5315-3
Type :
conf
DOI :
10.1109/ICBECS.2010.5462374
Filename :
5462374
Link To Document :
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