Computer-assisted breast cancer pathological image diagnosis method based on artificial intelligence
A computer-aided, pathological image technology, applied in computer-aided medical procedures, computer parts, calculations, etc., can solve problems such as subjectivity and low efficiency, and achieve the effect of avoiding subjective judgment, improving work efficiency, and reducing workload.
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Embodiment 1
[0026] Embodiment 1: Carry out model training on the pathological image set of breast cancer, and obtain the trained slice prediction model and whole image prediction model. Such as figure 1 Shown, the method for model training of the present invention is as follows:
[0027] Step 1: Acquire breast cancer pathological image data set. The pathological image set includes images of different sizes of the original image of the same breast cancer pathological slice.
[0028]In this embodiment, pathological full-field slice images of breast cancer are used. The dataset includes invasive lobular carcinoma (ILC), invasive micropapillary carcinoma (IMPC), tubular carcinoma (TC / ICC), mucinous carcinoma (MC), apocrine gland carcinoma (AC) and invasive ductal carcinoma (IDC) Six breast cancer subtypes, with different breast cancer subtypes defined by distinct morphological patterns.
[0029] Such as image 3 As shown, the data set was produced by digitizing breast cancer histopatholo...
Embodiment 2
[0050] Embodiment 2: Based on the trained slice prediction model and whole image prediction model, breast cancer diagnosis and classification are performed on breast cancer pathological images. Such as figure 2 Shown, the method for image diagnosis of the present invention is as follows:
[0051] Step 1: Obtain pathological image data of breast cancer. In this embodiment, pathological full-field slice images of breast cancer are used. The dataset includes invasive lobular carcinoma (ILC), invasive micropapillary carcinoma (IMPC), tubular carcinoma (TC / ICC), mucinous carcinoma (MC), apocrine gland carcinoma (AC) and invasive ductal carcinoma (IDC) Six breast cancer subtypes, with different breast cancer subtypes defined by distinct morphological patterns.
[0052] Such as image 3 As shown, the data set was produced by digitizing breast cancer histopathological slides with a slide scanner with a maximum magnification of 40× (0.2 μm / pixel) using hematoxylin-eosin staining (...
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