An intelligent medical image understanding method using two-tier neural network ensembles
Refereed conference paper presented and published in conference proceedings

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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. © Springer-Verlag Berlin Heidelberg 2005.
著者Yang Y., Chen S., Zhou Z., Lin H., Ye Y.
會議名稱18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems: Innovations in Applied Artificial Intelligence, IEA/AIE 2005
會議開始日22.06.2005
會議完結日24.06.2005
會議地點Bari
會議國家/地區意大利
出版年份2005
月份12
日期1
卷號3533 LNAI
出版社Springer Verlag
出版地Germany
頁次616 - 618
國際標準書號3540265511
國際標準期刊號0302-9743
語言英式英語

上次更新時間 2020-02-09 於 00:15