首页> 外国专利> OSTEOPOROSIS DIAGNOSIS SUPPORT APPARATUS, METHOD AND PROGRAM, COMPUTER-READABLE RECORDING MEDIUM RECORDED WITH OSTEOPOROSIS DIAGNOSIS SUPPORT PROGRAM AND LSI FOR SUPPORTING OSTEOPOROSIS DIAGNOSIS

OSTEOPOROSIS DIAGNOSIS SUPPORT APPARATUS, METHOD AND PROGRAM, COMPUTER-READABLE RECORDING MEDIUM RECORDED WITH OSTEOPOROSIS DIAGNOSIS SUPPORT PROGRAM AND LSI FOR SUPPORTING OSTEOPOROSIS DIAGNOSIS

机译:骨质疏松症诊断支持装置,方法和程序,记录有骨质疏松症诊断支持程序的计算机可读记录介质和支持骨质疏松症诊断的LSI

摘要

PROBLEM TO BE SOLVED: To improve the determination accuracy of an osteoporosis screening using dental panoramic radiographs.;SOLUTION: A threshold for tentatively determining "a low bone density" or "a normal state" is determined for every characteristic value by a threshold processing based on the fuzzy logic. Three fuzzy sets are set based on the thresholds. The connection weight of a three-layer neural network where the product of membership values to the respective fuzzy sets is defined as an input and "the low bone density" or "the normal state" is defined as an output is determined. When the characteristic value of a certain undetermined image is given, the product of the membership values to the fuzzy sets is input in the neural network to acquire the output of "the low bone density" or "the normal state".;COPYRIGHT: (C)2008,JPO&INPIT
机译:解决的问题:为了提高使用牙科全景X光片检查骨质疏松症的准确性。解决方案:通过阈值处理,为每个特征值临时确定“低骨密度”或“正常状态”的阈值在模糊逻辑上。根据阈值设置三个模糊集。确定三层神经网络的连接权重,其中将隶属值与各个模糊集的乘积定义为输入,并将“低骨密度”或“正常状态”定义为输出。当给出某个不确定图像的特征值时,隶属值与模糊集的乘积被输入到神经网络中,以获取“低骨密度”或“正常状态”的输出。 C)2008,日本特许厅

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