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技術名稱 Technology
發明人 Inventor
王靖維,
所有權人 Asignee 國立臺灣科技大學

專利國家 Country 申請號 Application No. 專利號 Patent No. 中心案號 Serial No.
德國 10 2018 128 806.9 申請中 1070021DE0
  點閱數:375

技術摘要:
1.Proposed system is a web based system, which is easily accessible around the world.
2.Proposed system implements an adaptive learning framework in order to diagnose and identify cells of user’s interest efficiently.
3.For example, system can classify and identify the breast cancer tissue types into four categories, including normal, Atypical ductal hyperplasia (ADH), Ductal carcinoma in situ (DCIS) and Breast Carcinoma.
4.For example in 3, system can generate quantitative results of different tissue types and their percentage present.
5.For example in 3, if breast carcinoma is diagnosed by the system, further it can generate prognosis information with the help of predictive immunohistochemical biomarkers (Ki67, Estrogen Receptors (ER), Progesterone Receptors (PR) and Human Epidermal growth factor Receptor-2 (HER2)), including life expectancy, response to a given therapy and may direct patient’s treatment. Moreover, their analysis can become the basis of targeted therapy or personalized medicine.
6.Proposed system trains the new data with the previous model instead of all data in data base. Therefore, our product runs faster.
7.Proposed system has high accuracy, and the result is similar to doctors’ diagnosis.
8.將模型加入新資料進行訓練,使處理更加迅速
9.判斷結果準確,近似醫生判斷結果
10.本產品能透過網路在全球使用


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