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10篇 您的检索式:作者名="Shinei"
    题名 作者 年代 出处 被引量
1Nonsteroidal Progesterone Receptor Ligands(Ⅱ);Synthesis and SAR of New Tetrahydrobenzindolone Derivatives显示文摘Kurihara K Shinei R Tanabe K 0,,:1
2Nonsteroidal progesterone receptor ligands (Ⅰ) : synthesis and SAR of new tetrahydronaphthofuranone derivatives 显示文摘SHINEI R KURIHARA K TANABE K 2006Bioorg Med Chem2006,14,14:1
3Nonsteroidal progesterone receptor ligands (Ⅱ) : synthesis and SAR of new tetrahydrobenzindolone derivatives 显示文摘KURIHARA K SHINEI R TANABE K 2006Bioorg Med Chem2006,14,14:1
4Alveolar fnenstrae in smokers:Re-lationship with light microscopic and functional abnormalities显示文摘Cosio MG Shiney BJ Seatta M 1986AmRrv Respir Dis1986,133,:1
5Alveolar fnenstrae in smokers: Relationship with light microscopoic and functional abnormalities 显示文摘Cosio MG Shiney BJ Seatta M et a/ 1986Am Rrv Respir Dis1986,133,:1
6Alveolar fenestrae in smokers:Relationship with light microscopic and functional abnormalities显示文摘Cosio MG Shiney BJ Saetta M 1986Am Rrv Respir Dis1986,133,1:1
7CP8668, a novel orally active nonsteroidal progesterone receptor modulator with tetrahydrobenzindolone skeleton 显示文摘TABATA Y IIZUKA Y SHINEI R 2003Eur J Pharmacol2003,461,1:1
8Alveolar fenestrae in smokers: Relationship with ltght microscopic and functional abnormalities显示文摘Cosio MG Shiney BJ Saetta M 1986Am Rrv Respir Dis1986,133,1:1
9Antigenicity and receptor-binding ability of recombinant SARS coronavirus spike protein显示文摘Ho TinYun Wu ShihLu Cheng ShinEi 2004Biochemical and Biophysical Research Communications2004,313,:1
10A Post-Processing Algorithm for Boosting Contrast of MRI Images显示文摘Low contrast of Magnetic Resonance(MR)images limits the visibility of subtle structures and adversely affects the outcome of both subjective and automated diagnosis.State-of-the-art contrast boosting techniques intolerably alter inherent features of MR images.Drastic changes in brightness features,induced by post-processing are not appreciated in medical imaging as the grey level values have certain diagnostic meanings.To overcome these issues this paper proposes an algorithm that enhance the contrast of MR images while preserving the underlying features as well.This method termed as Power-law and Logarithmic Modification-based Histogram Equalization(PLMHE)partitions the histogram of the image into two sub histograms after a power-law transformation and a log compression.After a modification intended for improving the dispersion of the sub-histograms and subsequent normalization,cumulative histograms are computed.Enhanced grey level values are computed from the resultant cumulative histograms.The performance of the PLMHE algorithm is comparedwith traditional histogram equalization based algorithms and it has been observed from the results that PLMHE can boost the image contrast without causing dynamic range compression,a significant change in mean brightness,and contrast-overshoot.B.Priestly Shan O.Jeba Shiney Sharzeel Saleem V.Rajinikanth Atef Zaguia Dilbag Singh 2022Computers, Materials & Continua2022,,8:0
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