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filingDate 2020-03-03-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4214fbfe5d679020f65a6dea423d5d23
publicationDate 2021-09-16-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber JP-2021136892-A
titleOfInvention System, test result estimation method, learning model, and learning model generation method
abstract PROBLEM TO BE SOLVED: To confirm the state of HER2 gene amplification and HER2 protein overexpression in a short period of time and with high accuracy prior to treatment of invasive breast cancer with Herceptin, a test result estimation method, a learning model, and a learning model generation method. I will provide a. A system 1 includes a target image acquisition unit 4 and an estimation unit 5. The target image acquisition unit 4 acquires target image data composed of images of HE-stained specimens of mammary gland tissue specimens. The estimation unit 5 estimates the test result of the HER2 test of the mammary gland tissue sample corresponding to the acquired target image data based on the learning data. The training data are the tested image data consisting of the images of HE-stained specimens of breast tissue specimens that have already been pathologically diagnosed for invasive breast cancer, and the test results of the HER2 test based on the IHC method of the breast tissue specimens corresponding to the tested image data. Includes data. [Selection diagram] Fig. 1
priorityDate 2020-03-03-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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