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Performance Of Image Cytology Features Versus Fourier Transform Infrared Spectroscopy (Ftir) Features As Diagnosis Input For Cervical Cancer Screening Tools Using Artificial Neural Network.

机译：图像细胞学特征与傅立叶变换红外光谱（Ftir）特征的性能作为使用人工神经网络的宫颈癌筛查工具的诊断输入。

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Statistically, 471,000 new cases of cervical cancer are reported in Malaysia each year, and more than 270,000 deaths were recorded.

机译：据统计，每年马来西亚报告471,000例新的宫颈癌病例，并记录了超过270,000例死亡。

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Mat Isa Nor Ashidi; Yusoff Intan Aidha; Jusman Yessi; Sulaiman Siti Noraini; Othman Nor Hayati;
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年度 2010
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正文语种 {"code":"en","name":"English","id":9}
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1. Automated cervical precancerous cells screening system based on Fourier transform infrared spectroscopy features [J] . Yessi Jusman, Nor Ashidi Mat Isa, Siew-Cheok Ng, Journal of biomedical optics . 2016,第7期

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3. Application of vapour-phase Fourier transform infrared spectroscopy (FTIR) and statistical feature selection methods for identifying Salmonella enterica typhimurium contamination in beef [J] . Amamcharla Jayendra K., Panigrahi Suranjan, Logue Catherine M., Biosystems Engineering . 2010,第1期

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4. Cancer diagnostics using Fourier transform fiber optic infrared evanescent wave spectroscopy (FTIR-FEWS) [C] . Juergen Spielvogel, Institut fuer Lasertechnologien in der Medizin und Me sstechnik an der Univ. Ulm, Ulm, Surgical-Assist Systems . 1998

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5. Fourier transform infrared (FTIR) spectroscopy as a tool for wheat gluten secondary structure analysis and for probing moisture distribution in whole grain dough systems. [D] . Bock, Jayne E. 2011

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6. Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy (FTIR) and Artificial Neural Networks Applied to Investigate Quantitative Changes of Selected Soluble Biomarkers Correlated with [O] . Weronika Gonciarz, Łukasz Lechowicz, Mariusz Urbaniak, 2020

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7. Performance Of Image Cytology Features Versus Fourier Transform Infrared Spectroscopy (Ftir) Features As Diagnosis Input For Cervical Cancer Screening Tools Using Artificial Neural Network. [O] . Mat Isa Nor Ashidi, Yusoff Intan Aidha, Jusman Yessi, 2010

机译：图像细胞学特征与傅立叶变换红外光谱（Ftir）特征的性能作为使用人工神经网络的宫颈癌筛查工具的诊断输入。

Performance Of Image Cytology Features Versus Fourier Transform Infrared Spectroscopy (Ftir) Features As Diagnosis Input For Cervical Cancer Screening Tools Using Artificial Neural Network.

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