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Detection of cervical cancer from evoked tissue fluorescence images using 2- and 3-way methods

机译:使用2向和3向方法从诱发的组织荧光图像中检测宫颈癌

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In-vivo examinations of cervical tissue were performed using Evoked Tissue Fluorescence (ETF) as part of aclinical trial. These examinations were performed in conjunction with conventional colposcopy, along with ofbiopsies of suspect cancerous or pre-cancerous tissue. The ETF data consisted of 22 images of the cervixtaken at combinations of 3 excitation wavelengths and 9 emission wavelengths. The ultimate goal was to usethese images to accurately classify tissue between normal states (normal squamous and normal columnar) andpre-cancerous and cancerous states (squamous metaplasia, and high and low Squamous Intraepithelial Lesion,HSIL and LSIL). Several chemometric methods were applied to the data for the purpose of preprocessing(e.g. image alignment), eliminating patient to patient variability (e.g. GLS and specialized centering),classification of tissues (hierarchical PLS-DA) and elucidating the underlying signatures of the tissues andbackground components (PARAFAC).
机译:作为临床试验的一部分,使用诱发组织荧光(ETF)进行了宫颈组织的体内检查。这些检查与常规阴道镜检查以及可疑的癌变或癌前组织的活检一起进行。 ETF数据由在3个激发波长和9个发射波长的组合下拍摄的22张宫颈图像组成。最终目标是使用\ n \ n这些图像对正常状态(正常鳞状和正常柱状)与癌前和癌变状态(鳞状化生,上,下鳞状上皮内病变)之间的组织进行准确分类,\ r \ nHSIL和LSIL)。为了预处理\ r \ n(例如图像对齐),消除患者之间的变异性(例如GLS和专门的居中),\ r \ n组织分类(分层PLS-DA)并进行阐明,已将几种化学计量学方法应用于数据组织和基础成分的基本特征(PARAFAC)。

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