Specular Reflection Removal in Cervigrams

Agarwal, Ayush; Ali, Faraaz; Kopparthi, Aditya; Ranjan, Priya; Shrivastav, Kumar Dron; Janardhanan, Rajiv

doi:10.1007/978-981-16-4244-9_35

Cited by 2 publications

(1 citation statement)

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“…MySQL Version 14.14 Distrib 5.5.60 has been used for the development of the image/video repository for further processing of digitized cervigrams while LINUX (Ubuntu) version 20.04 has been used as the base computational platform. Digitized Cervigrams acquired using Digital Colposcope (Mobile ODT, Tel Aviv-Yafo, Israel) from anonymized subjects presenting at the OPD of BHMRC and DSCI were subjected to preprocessing algorithms [12] for noise removal before being analyzed for cervical cancer lesion detection using image processing algorithms, as shown in Figure 2a,b. MySQL Version 14.14 Distrib 5.5.60 has been used for the development of the image/video repository for further processing of digitized cervigrams while LINUX (Ubuntu) version 20.04 has been used as the base computational platform.…”

Section: Methodsmentioning

confidence: 99%

Earth Mover’s Distance-Based Tool for Rapid Screening of Cervical Cancer Using Cervigrams

et al. 2022

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Cervical cancer is a major public health challenge that can be cured with early diagnosis and timely treatment. This challenge formed the rationale behind our design and development of an intelligent and robust image analysis and diagnostic tool/scale, namely “OM—The OncoMeter”, for which we used R (version-3.6.3) and Linux (Ubuntu-20.04) to tag and triage patients in order of their disease severity. The socio-demographic profiles and cervigrams of 398 patients evaluated at OPDs of Batra Hospital & Medical Research Centre, New Delhi, India, and Delhi State Cancer Institute (East), New Delhi, India, were acquired during the course of this study. Tested on 398 India-specific women’s cervigrams, the scale yielded significant achievements, with 80.15% accuracy, a sensitivity of 84.79%, and a specificity of 66.66%. The statistical analysis of sociodemographic profiles showed significant associations of age, education, annual income, occupation, and menstrual health with the health of the cervix, where a p-value less than (<) 0.05 was considered statistically significant. The deployment of cervical cancer screening tools such as “OM—The OncoMeter” in live clinical settings of resource-limited healthcare infrastructure will facilitate early diagnosis in a non-invasive manner, leading to a timely clinical intervention for infected patients upon detection even during primary healthcare (PHC).

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Section: Methodsmentioning

confidence: 99%