scholarly journals Elimination of specular reflection and identification of ROI: The first step in automated detection of Cervical Cancer using Digital Colposcopy

2011 ◽  
Author(s):  
Abhishek Das ◽  
Avijit Kar ◽  
Debasis Bhattacharyya
Keyword(s):  
Cervical Cancer ◽  
Specular Reflection ◽  
Automated Detection

scholarly journals Prediction using hierarchical data: Applications for automated detection of cervical cancer

2015 ◽  
Vol 8 (2) ◽  
pp. 65-74 ◽  
Author(s):  
Jose-Miguel Yamal ◽  
Martial Guillaud ◽  
E. Neely Atkinson ◽  
Michele Follen ◽  
Calum MacAulay ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Automated Detection ◽  
Hierarchical Data

scholarly journals High-Content Imaging in Cervical Cancer Screening

2012 ◽  
Vol 18 (1) ◽  
pp. 135-142 ◽  
Author(s):  
Maria Isabel Micalessi ◽  
Gaëlle Boulet ◽  
Isabel Pintelon ◽  
Peter Verstraelen ◽  
Frans Nauwelaers ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Cancer Screening ◽  
Cervical Cancer Screening ◽  
Simultaneous Detection ◽  
Automated Detection ◽  
Ki 67 ◽  
High Content Imaging ◽  
Siha Cells ◽  
Cervical Disease ◽  
Staining Protocol

A shift from conventional cytology to a molecular approach could improve cervical cancer screening. This proof-of-concept study aims to develop a high-content imaging platform for the simultaneous detection of multiple biomarkers for cervical disease. Liquid-based cytology (LBC) samples were used to optimize a dual ProExC/Ki-67 immunofluorescence staining protocol for SurePath-fixed cells. The simultaneous and automated detection of these biomarkers was performed using the BD Pathway 435 system. The ability of high-content imaging to detect dysplastic cervical cells was assessed using keratinocytes spiked with immunopositive SiHa cells and a high-grade squamous intraepithelial lesion (HSIL) LBC sample. The percentages of Ki-67- and ProExC-immunopositive objects correlated significantly with the percentages of spiked SiHa cells. The dysplastic cells of the HSIL sample could be detected using high-content cell analysis. In conclusion, high-content imaging allows the simultaneous and automated detection of Ki-67- and ProExC-immunopositive dysplastic cells in LBC specimens.

scholarly journals Integration of Global and Local Features for Specular Reflection Inpainting in Colposcopic Images

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiaoxia Wang ◽  
Ping Li ◽  
Yuchun Lv ◽  
Huifeng Xue ◽  
Tianxiang Xu ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Clinical Diagnosis ◽  
Specular Reflection ◽  
Visual Assessment ◽  
Clinical Test ◽  
Average Accuracy ◽  
Computer Aided ◽  
Before And After ◽  
Global And Local ◽  
Aided Diagnosis

Objective. To explore an inpainting method that can balance texture details and visual observability to eliminate the specular reflection (SR) regions in the colposcopic image, thus improving the accuracy of clinical diagnosis for cervical cancer. Methods. (1) To ensure smoothness, Gaussian Blur and filling methods are applied to the global image. (2) Striving to preserve the anatomical texture details of the colposcopic image as much as possible, the exemplar-based method is applied to local blocks. (3) The colposcopic images inpainted in the previous two steps are integrated, so that important information of non-SR regions is preserved based on eliminating SR regions. Results. In the subjective visual assessment of inpainting results, the average of 3.55 ranks first in the five comparison sets. As to the clinical test, comparing the diagnosis results of 6 physicians before and after eliminating SR regions, the average accuracy of two kinds of classifications increased by 1.44% and 2.03%, respectively. Conclusions. This method can effectively eliminate the SR regions in the colposcopy image and present a satisfactory visual effect. Significance. As a preprocessing method for computer-aided diagnosis systems, it can also improve physicians’ accuracy in clinical diagnosis.

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