Method for improving accuracy of pathological image KI67 index
A KI67, pathological image technology, applied in the medical field, can solve the problems of misjudgment of two types of cells, calculation deviation of KI67 index, etc., to achieve the effect of improving accuracy
Active Publication Date: 2021-05-14
杭州迪英加科技有限公司
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However, due to the morphological similarity between lymphocytes and positive tumor cells on pathological images, it is easy for computer-aided interpretation algorithms to misjudge the two types of cells, resulting in serious deviations in the calculation of KI67 indicators
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[0034] Hereinafter, exemplary embodiments of the present application will be described in detail with reference to the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the exemplary embodiments described here.
[0035] Application overview
[0036] KI67 is a pathological immunohistochemical technique, and the KI67 index is used clinically to evaluate the malignancy of tumors. According to the guidelines, the pathologist needs to count the negative tumor cells and positive tumor cells in no less than ten microscopic fields, and then calculate the ratio of positive tumor cells to all tumor cells and take the average as the KI67 index. At present, the relatively mature algorithms for computer-aided interpretation mainly include traditional algorithms based on morphology and deep...
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The invention relates to a method for improving the accuracy of a pathological image KI67 index, which comprises the following steps of: identifying lymphocytes and positive tumor cells on a pathological section under the current visual field through a computer-aided discrimination algorithm, and determining the accuracy of the pathological image KI67 index according to the relevance between the lymphocytes and the positive tumor cells in the cell distance and the pigment intensity. A neighborhood voting method is adopted to correct a result of the computer-aided interpretation algorithm, positive tumor cells are used for voting lymphocytes, and the voting principle is that if the lymphocytes are close to most of positive tumor cells and have similar colors, the lymphocytes are positive tumor cells with higher probability, and the lymphocytes are negative tumor cells with higher probability; and therefore, a part of tumor cells misjudged as lymphocytes by a computer-aided algorithm are corrected, a more accurate cell counting result is obtained, and the accuracy of KI67 interpretation is improved.
Description
technical field [0001] The invention relates to the field of medical technology, in particular to a method for improving the accuracy of the KI67 index of pathological images. Background technique [0002] With the penetration of digital construction in the medical industry, the application of computer-aided diagnosis and interpretation in clinical practice is becoming more and more common. Computer-aided diagnosis is very effective in some clinical application scenarios such as intensive repetitive labor and large amount of film reading. Ki67 pathology slide interpretation is one of these scenarios. KI67 is a pathological immunohistochemical technique, and the KI67 index is used clinically to evaluate the malignancy of tumors. According to the guidelines, pathologists need to count the negative tumors and positive tumors in no less than ten microscopic fields, and then calculate the ratio of positive tumors to all tumor cells and take the average as the KI67 index. Howev...
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IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/30242G06T2207/30024G06T2207/30096
Inventor 蔡佳桐杨林
Owner 杭州迪英加科技有限公司