Computer ‐aided diagnosis software for vulvovaginal candidiasis detection from Pap smear images

This article presents a computer aided diagnosis (CAD) software to improve human diagnosis of VVC from Pap smear samples. The proposed software is designed based on phenotypic and morphology features of the Candida in Pap smear sample images. This software provide a user‐friendly interface which consists of a set of image processing tools and analytical results that helps to detect Candida and determine severity of illness. The software was evaluated on 200 Pap smear sample images and obtained specificity of 91.04% and sensitivity of 92.48% to detect VVC. As a result, the use of the proposed software reduces diagnostic time and can be employed as a second objective opinion for pathologists. Vulvovaginal candidiasis (VVC) is a common gynecologic infection. This research proposes a Computer Aided Diagnosis (CAD) software for automatic detection of VVC. The Proposed CAD software can improve the performance of VVC detection.
Source: Microscopy Research and Technique - Category: Laboratory Medicine Authors: Tags: RESEARCH ARTICLE Source Type: research