{"id":122,"date":"2021-11-21T21:32:08","date_gmt":"2021-11-21T13:32:08","guid":{"rendered":"https:\/\/bioinfoic.lab.nycu.edu.tw\/?page_id=122"},"modified":"2023-05-04T23:08:20","modified_gmt":"2023-05-04T15:08:20","slug":"%e8%82%9d%e7%99%8c%e8%a8%ba%e7%99%82%e6%b1%ba%e7%ad%96%e6%94%af%e6%8f%b4%e7%b3%bb%e7%b5%b1","status":"publish","type":"page","link":"https:\/\/bioinfoic.lab.nycu.edu.tw\/?page_id=122","title":{"rendered":"\u809d\u764c\u8a3a\u7642\u6c7a\u7b56\u652f\u63f4\u7cfb\u7d71"},"content":{"rendered":"\n

\u69ae\u7372 2021 \u570b\u5bb6\u65b0\u5275\u734e: \u5b78\u7814\u65b0\u5275\u734e
<\/mark><\/strong>\u69ae\u7372 2022 \u570b\u5bb6\u7cbe\u9032\u65b0\u5275\u734e<\/strong><\/mark><\/mark><\/h2>\n\n\n\n

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2022\u5e74\u5ea6\u7cbe\u9032\u6210\u679c<\/h1>\n\n\n\n

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\"\"<\/figure>\n\n\n\n

\u809d\u764cAI\u9810\u5f8c\u91ab\u5b78\u8a3a\u7642\u6c7a\u7b56\u6a21\u578b<\/h1>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\u809d\u764cAI\u8a3a\u7642\u767c\u5c55\u91cc\u7a0b\u7891<\/h1>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\u7522\u5b78\u5408\u4f5c\u8207\u6280\u8853\u652f\u63f4\u91cc\u7a0b\u7891<\/h1>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\u6f14\u5316\u5b78\u7fd2\u65bc\u809d\u764c\u8a3a\u65b7\u9818\u57df\u7684\u76f8\u95dc\u7814\u7a76<\/h1>\n\n\n\n
\"\"<\/figure>\n\n\n\n
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\"\"<\/figure>\n\n\n\n

\u5e73\u53f0\u6280\u8853\u8207\u7814\u7a76<\/h1>\n\n\n\n

HFS-Net<\/h2>\n\n\n\n
\n

Hierarchical Fusion Strategy Network for Tumor Segmentation from Computed Tomography Imaging of Liver Tumors<\/p>\n<\/blockquote>\n\n\n\n

\"\"
In the independent test, HFS-Net achieved the dice score of 63.9% in segmentation, and sensitivity and F1-score of 91.8%<\/strong> and 85.5%<\/strong> in tumor detection, respectively.<\/figcaption><\/figure>\n\n\n\n

\u6f14\u5316\u5b78\u7fd2\u5efa\u7acb\u7684\u81e8\u5e8a\u653e\u5c04\u5b78\u6a21\u578b-\u9810\u6e2c\u809d\u764c\u5207\u9664\u5f8c\u65e9\u671f\u5fa9\u767c<\/h2>\n\n\n\n

Evolutionary Learning Derived Clinical-Radiomic Models for Predicting Early Recurrence of Hepatocellular Carcinoma After Resection<\/p>\n\n\n\n

\n

Liver Cancer, Accepted (31 July. 2021). IF=12.43<\/p>\n\n\n\n

\u672c\u671f\u520a\u7b2c\u4e00\u7bc7AI\u9810\u6e2c\u8ad6\u6587<\/strong><\/p>\n<\/blockquote>\n\n\n\n

\"\"<\/figure>\n\n\n\n

miRNA\u7684AI\u9810\u6e2c<\/strong><\/h2>\n\n\n\n

SY Sathipati and S-Y Ho*, Novel miRNA signature for predicting the stage of hepatocellular carcinoma, Scientific reports 10 (1), 1-12, 2020\/9\/2.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

SVM-HCC identified a 23-miRNA signature that achieved a CV, sensitivity, specificity, Matthews correlation coefficient, and AUC of 92.59%<\/strong>, 0.98<\/strong>, 0.74<\/strong>, 0.80<\/strong>, and 0.86<\/strong>, respectively; and test accuracy and AUC of 74.28%<\/strong> and 0.73<\/strong>, respectively.<\/p>\n\n\n\n

\u5728\u7cbe\u6e96\u91ab\u7642\u7684\u8da8\u52e2\u4e0bmiRNA\u7684AI\u9810\u6e2c\u5728\u672a\u4f86\u6709\u6a5f\u6703\u6210\u70ba\u65b0\u7684\u6a19\u6e96<\/p>Onishi M, Ochiya T, Tanaka Y. MicroRNA and liver cancer. Cancer Drug Resist 2020;3:385-400.<\/a><\/cite><\/blockquote><\/figure>\n","protected":false},"excerpt":{"rendered":"

\u69ae\u7372 2021 \u570b\u5bb6\u65b0\u5275\u734e: \u5b78\u7814\u65b0\u5275\u734e\u69ae\u7372 2022 \u570b\u5bb6\u7cbe\u9032\u65b0\u5275\u734e \u751f\u91ab\u6f14\u5316\u5b78\u7fd2\u5e73\u53f0\u4f7f\u7528\u6700\u4f73\u5316\u7684\u96d9\u76ee\u6a19\u667a\u6167 … <\/p>\n

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