本文選題：人工智能 + 病理診斷��； 參考：《第二軍醫(yī)大學學報》2017年11期

【摘要】：人工智能在多個醫(yī)學場景如疾病診斷、藥物篩選、影像醫(yī)學和護理醫(yī)學等領域中取得了革命性的進步。病理切片屬于二維圖像,是人工智能的首要突破點。我國的醫(yī)療資源和病理資源豐富,而病理切片的標準化和數字化為人工智能的深度學習提供了大數據背景。我們在乳腺癌、胃癌和膽管癌病理人工智能方面進行了一系列研究,建立了標準的腫瘤細胞標注流程和深度學習流程,研發(fā)了肝門部膽管癌人工智能模型,但也發(fā)現了存在的問題,提出了解決方案。隨著精準性的提高,病理人工智能有望很快進入臨床實踐。
[Abstract]:Artificial intelligence has made revolutionary progress in many medical settings such as disease diagnosis, drug screening, imaging medicine and nursing medicine. Pathological section belongs to two-dimensional image and is the first breakthrough point of artificial intelligence. China is rich in medical and pathological resources, and the standardization and digitization of pathological sections provide big data background for the deep learning of artificial intelligence. We have conducted a series of studies on the pathological artificial intelligence of breast cancer, gastric cancer and cholangiocarcinoma, established the standard tumor cell labeling process and depth learning process, and developed the artificial intelligence model of hilar cholangiocarcinoma. But also found the existing problems, put forward a solution. With the improvement of accuracy, pathological artificial intelligence is expected to enter clinical practice soon.
【作者單位】： 上海中醫(yī)藥大學附屬龍華醫(yī)院腫瘤科;第二軍醫(yī)大學長海醫(yī)院病理科;
【基金】：國家自然科學基金(30901794,81572856) 上海市浦江人才計劃項目(13PJD002) 上海中醫(yī)藥大學附屬龍華醫(yī)院高層次人才引進項目(LH02.51.002)~~
【分類號】：R730.43;TP18
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本文編號：1842469