Gastric cancer pathology image canceration region segmentation method based on deep learning
A technology for region segmentation and pathological images, applied in the field of computer vision, can solve problems such as labeling data training network can not converge, achieve the effect of improving generalization ability and prediction accuracy
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[0032] The present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.
[0033] The used hardware equipment of the present invention has 1 PC machine, 1 titan xp graphics card;
[0034] like figure 1 As shown, the present invention provides a gastric cancer region segmentation method based on deep learning of partly labeled gastric cancer canceration images, which specifically includes the following steps:
[0035] Step 1, obtain the gastric cancer image dataset, and perform the first cleaning (for example, delete dirty data) on these data.
[0036] Step 2, use image enhancement technology to enhance the original data, so as to increase the number of samples and enrich the content of the data set.
[0037] Step 2.1, shape enhancement, mark the original image and its mask, scale its length and width according to a certain ratio, and then intercept the size required by the semantic segmen...
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