A method for image analysis of predicted cell metastasis

A method for image analysis of predicted cell metastasis comprising the steps of:

• performing principle component analysis (PCA) on a plurality of reference images and converting the reference images into a plurality of hyperspectral image information of a plurality of hyperspectral reference images by a host;
• capturing and sending at least one input image into the host by an image capture unit;
• converting the input image into a hyperspectral image according to the plurality of hyperspectral image information and getting a plurality of spectral information of the hyperspectral image by the host;
• selecting a plurality of wave bands corresponding to esophageal cancer cells according to the plurality of the spectral information and performing feature computation to generate a plurality of corresponding feature images by the host;
• performing at least one layer of convolution of the feature images with a plurality of kernels to get a convolution result by the host;
• performing matching between the convolution result and a plurality of sample spectra of a plurality of sample images to generate a comparison result by the host;
• and
• determining whether the esophageal cancer cells have spread to other parts of body according to the comparison result by the host.