Medical Image Processing:Peritoneum Extraction

Input and Output Images


Input Image

input image

Output Image

output image

This work proposed a method to extract and measure the peritoneum automatically. In this algorithm, firstly, the input image is normalized and the edge between the empty area and the monolayer of the flat cells are detected. Then, the peritoneum area is extracted by the using a three layer neural network. And then measurement of the peritoneum is performed. We tested this algorithm by using the real-world image. The experiment results show that this method is very efficient and effective.





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