自从1939年 Paul Muller 发现了滴滴涕的对、对异构体的杀虫活性以来,全世界合成出了大量的杀虫化合物,用于防治家庭、公共卫生、贮藏害虫以及农业害虫。随着杀虫化合物数量的增加,对它们的选择性,也就是在已知环境条件下的适用性,逐渐...自从1939年 Paul Muller 发现了滴滴涕的对、对异构体的杀虫活性以来,全世界合成出了大量的杀虫化合物,用于防治家庭、公共卫生、贮藏害虫以及农业害虫。随着杀虫化合物数量的增加,对它们的选择性,也就是在已知环境条件下的适用性,逐渐成为相当重要的问题。可以说,所有的杀虫剂都是毒物,但是对目标害虫和非目标生物的作用各有不同。有些杀虫剂品种较受欢迎,是因为它们对目标害虫毒性高;而有些品种也受欢迎,是因为它们对哺乳动物十分安全;然而有时有些品种很受欢迎是因为它们有很长的持效;许多品种往往由于价格太高,使用受到限制。展开更多
We report the results of a comparative study of Fourier domain analysis(FDA)and texture analysis(TA)of optical coherence tomography(OCT)images of resected human breast tissues for binary classification between normal...We report the results of a comparative study of Fourier domain analysis(FDA)and texture analysis(TA)of optical coherence tomography(OCT)images of resected human breast tissues for binary classification between normalabnormal classes and benignmalignant classes.With the incorporation of Fisher linear discriminant analysis(FLDA)in TA for feature extraction,the TA-based algorithm provided improved diagnostic performance as compared to the FDAbased algorithm in discriminating OCT images corresponding to breast tissues with three different pathologies.The specificity and sensitivity values obtained for normalabnormal classification were both 100%,whereas they were 90% and 85%,respectively for benignmalignant classification.展开更多
文摘自从1939年 Paul Muller 发现了滴滴涕的对、对异构体的杀虫活性以来,全世界合成出了大量的杀虫化合物,用于防治家庭、公共卫生、贮藏害虫以及农业害虫。随着杀虫化合物数量的增加,对它们的选择性,也就是在已知环境条件下的适用性,逐渐成为相当重要的问题。可以说,所有的杀虫剂都是毒物,但是对目标害虫和非目标生物的作用各有不同。有些杀虫剂品种较受欢迎,是因为它们对目标害虫毒性高;而有些品种也受欢迎,是因为它们对哺乳动物十分安全;然而有时有些品种很受欢迎是因为它们有很长的持效;许多品种往往由于价格太高,使用受到限制。
文摘We report the results of a comparative study of Fourier domain analysis(FDA)and texture analysis(TA)of optical coherence tomography(OCT)images of resected human breast tissues for binary classification between normalabnormal classes and benignmalignant classes.With the incorporation of Fisher linear discriminant analysis(FLDA)in TA for feature extraction,the TA-based algorithm provided improved diagnostic performance as compared to the FDAbased algorithm in discriminating OCT images corresponding to breast tissues with three different pathologies.The specificity and sensitivity values obtained for normalabnormal classification were both 100%,whereas they were 90% and 85%,respectively for benignmalignant classification.
