人工智能
计算机科学
分类器(UML)
计算机辅助设计
模式识别(心理学)
卵巢癌
计算机辅助诊断
机器学习
医学
癌症
内科学
工程类
工程制图
作者
U. Rajendra Acharya,Muthu Rama Krishnan Mookiah,S. Vinitha Sree,Ratna Yanti,Roshan Joy Martis,Luca Saba,Filippo Molinari,S. Guerriero,Jasjit S. Suri
标识
DOI:10.1055/s-0032-1330336
摘要
The proposed system is automated and hence is more objective, can be easily deployed in any computer, is fast and accurate and can act as an adjunct tool in helping physicians make a confident call about the nature of the ovarian tumor under evaluation.
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