Detection Squamocellular Cancer

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