An intelligent medical image understanding method using two-tier neural network ensembles
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香港中文大學研究人員

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摘要This paper proposes an intelligent medical image understanding method using a novel two-tier artificial neural network ensembles framework to identify lung cancer cells and discriminate among different lung cancer types by analyzing the chromatic images acquired from the microscope slices of needle biopsy specimens. In this way, each neural network takes the shape and color features extracting from lung cancer cell images as the inputs and all the five possible identification results as its output.
著者Yang YB, Chen SF, Zhou ZH, Lin H, Ye YK
會議名稱18th International Industrial and Engineering Applications of Artificial Intelligence and Expert Systems
會議開始日22.06.2005
會議完結日24.06.2005
會議地點Bari
期刊名稱Lecture Notes in Artificial Intelligence
出版年份2005
月份1
日期1
卷號3533
出版社SPRINGER-VERLAG BERLIN
頁次616 - 618
國際標準書號3-540-26551-1
國際標準期刊號0302-9743
語言英式英語
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence

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