A deep learning-based segmentation method for breast cancer pathological images he cancer nest
A pathological image, deep learning technology, applied in the field of deep learning, can solve problems such as time-consuming and discrepancies, and achieve the effect of improving performance, improving efficiency, and enriching semantic information
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[0031] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings.
[0032] The HE WSI described in this paper, the Whole Slide Image, is a fully digitized HE pathological slice image.
[0033] like Figure 8 As shown, the present invention comprises the following steps:
[0034] 1. If figure 1 As shown, an FCN (Fully Convolutional Networks) segmentation network is trained to extract the outline of the effective tissue area in the 1x image, map it to the 40x image, and extract the effective tissue area correspondingly.
[0035] 2. If figure 2 , image 3 As shown in the figure, the extracted tissue area at a magnification of 40 is oversampled in a manner of overlapping 128 pixels, and the image is cropped into several patches of 1024*1024 (length*width).
[0036] 3. If Figure 5 As shown, the cropped patch at a magnificati...
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