Objective: to evaluate the diagnostic values of discrimination method of large log-likelihood study in differentiating the 3 kinds of SPN among peripheral lung carcinoma, hamartoma and tuberculoma.
目的：探讨应用最大似然法鉴别周围性肺癌、肺错构瘤及结核球3种孤立性肺结节(SPN)的诊断价值。
This scheme considers the decoding property of irregular LDPC codes and decides whether iterative decoding continues based on the log-likelihood ratio value of lowest degree variable nodes.
该方案考虑到非规则LDPC码的译码特点，通过度数最低的变量节点的似然信息来判定迭代译码是否继续。
Conclusion the discrimination method of large log-likelihood is a kind of valuable method to assist imaging diagnosis, and can improve the differential diagnostic accuracy for common SPN.
结论最大似然法对常见spn的鉴别诊断正确率有所提高，是一种辅助影像学诊断的有价值的方法。
Conclusion the discrimination method of large log-likelihood is a kind of valuable method to assist imaging diagnosis, and can improve the differential diagnostic accuracy for common SPN.
结论最大似然法对常见spn的鉴别诊断正确率有所提高，是一种辅助影像学诊断的有价值的方法。
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