Segmentation method, device and terminal for epithelial cell nucleus in prostate cancer pathological image
A pathological image, prostate cancer technology, applied in image analysis, image enhancement, image data processing and other directions, to achieve the effect of improving the accuracy of judgment
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Embodiment 1
[0059] Please refer to figure 1 , this embodiment proposes a method for segmenting epithelial cell nuclei in pathological images of prostate cancer, which can be applied to the processing of pathological images of prostate cancer, especially including analyzing the shape, texture and color of epithelial cell nuclei in pathological images, and then realizing the segmentation Efficient prediction of prostate cancer.
[0060] The method for segmenting epithelial cell nuclei in the pathological image of prostate cancer will be described in detail below.
[0061] Step S1 , performing color space conversion on the obtained pathologically stained image, and using a single-channel image of the converted color image to perform cell nucleus segmentation to obtain a cell nucleus segmented color image.
[0062] This step S1 is mainly used to segment the nucleus in the prostate body, that is, to identify the nucleus in the pathologically stained image. In this embodiment, considering tha...
Embodiment 2
[0139] Please refer to Figure 8 , based on the method of the above-mentioned embodiment 1, this embodiment proposes a device 10 for segmenting epithelial cell nuclei in a pathological image of prostate cancer, including:
[0140] A cell nucleus segmentation module 110, configured to perform color space conversion on the acquired pathological staining image, and obtain a cell nucleus segmentation color image after performing cell nucleus segmentation based on a single-channel image of the converted color image;
[0141] The cell nucleus feature extraction module 120 is used to segment the initial size image of each cell nucleus in each single-channel image of the cell nucleus segmentation color image and the zoomed image after zooming to a preset fixed size to obtain corresponding single-channel images. channel region image, and performing feature extraction on the single-channel region image to obtain single-channel image features corresponding to the nucleus, and obtain corr...
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