<p>(<b>A</b>) Comparison of spectral points for Negative <i>vs.</i> LSIL <i>vs.</i> HSIL (closed symbols) with HPV <i>vs.</i> ASCUS <i>vs.</i> Cancer (open symbols). Scores plots with confidence ellipse showing the relationship of (<b>B</b>) cancer with HSIL; (<b>C</b>) ASCUS with LSIL; and, (<b>D</b>) HPV-like features with Negative cytology; (<b>E</b>) Peak detection plot following linear discriminant analysis (LDA) showing top six wavenumbers responsible for segregation of Negative cytology from ASCUS, HPV and Cancer cytology.</p
Clinical tests and epidemiological studies often produce large amounts of data, being multivariate i...
Background:The Pap smear is the screening test in which in case of detection of any abnormality, a c...
The aetiology of cervical cancer is strongly associated with viral infection (i.e. human papillomavi...
<p>(<b>A</b>) Comparison of linear discriminant analysis (LDA) scores plots of IR spectra according ...
<p>Top six wavenumbers responsible for separating negative cytology from HPV, ASCUS and Cancer.</p
<p>Red circle: APTIMA, rhombus without color HPV DNA 16, rhombus blue HPV16/18 DNA, cross: cytology ...
<p>Table cells should be read as the correlations between the sources and the average spectra (see <...
Objectives: This study compared clinical outcomes associated with Pap smear reports of atypical squa...
Although a pathologists’ review of Papanicolaou smear cell samples has been successful in decreasing...
Conventional multivariate strategies for making qualitative estimates of sample composition rely chi...
Cervical cancer is the fourth most common cancer affecting women worldwide, with a high incidence an...
Objectives: To examine data correlating high-risk human papillomavirus (hrHPV) results in patients w...
Aim—Spectral Cytopathology (SCP) is a novel spectroscopic method for objective and unsupervised clas...
Application of Bethesda guidelines on cervical cytology involves human papillomavirus (HPV) determin...
<p><sup>&</sup>High-risk HPV types: 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66.</p><p><sup>#...
Clinical tests and epidemiological studies often produce large amounts of data, being multivariate i...
Background:The Pap smear is the screening test in which in case of detection of any abnormality, a c...
The aetiology of cervical cancer is strongly associated with viral infection (i.e. human papillomavi...
<p>(<b>A</b>) Comparison of linear discriminant analysis (LDA) scores plots of IR spectra according ...
<p>Top six wavenumbers responsible for separating negative cytology from HPV, ASCUS and Cancer.</p
<p>Red circle: APTIMA, rhombus without color HPV DNA 16, rhombus blue HPV16/18 DNA, cross: cytology ...
<p>Table cells should be read as the correlations between the sources and the average spectra (see <...
Objectives: This study compared clinical outcomes associated with Pap smear reports of atypical squa...
Although a pathologists’ review of Papanicolaou smear cell samples has been successful in decreasing...
Conventional multivariate strategies for making qualitative estimates of sample composition rely chi...
Cervical cancer is the fourth most common cancer affecting women worldwide, with a high incidence an...
Objectives: To examine data correlating high-risk human papillomavirus (hrHPV) results in patients w...
Aim—Spectral Cytopathology (SCP) is a novel spectroscopic method for objective and unsupervised clas...
Application of Bethesda guidelines on cervical cytology involves human papillomavirus (HPV) determin...
<p><sup>&</sup>High-risk HPV types: 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66.</p><p><sup>#...
Clinical tests and epidemiological studies often produce large amounts of data, being multivariate i...
Background:The Pap smear is the screening test in which in case of detection of any abnormality, a c...
The aetiology of cervical cancer is strongly associated with viral infection (i.e. human papillomavi...