@inproceedings{scholars7115,
             doi = {10.1109/ISSBES.2015.7435878},
            year = {2016},
            note = {cited By 1; Conference of IEEE Student Symposium in Biomedical Engineering and Sciences, ISSBES 2015 ; Conference Date: 4 November 2015; Conference Code:120053},
           pages = {11--15},
           title = {Automatic removal of auto fluorescence device part using circular hough transform},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
         journal = {ISSBES 2015 - IEEE Student Symposium in Biomedical Engineering and Sciences: By the Student for the Student},
        abstract = {For detection of oral potential malignant disorder (OPMD), devices such as VELscope, are potentially used in the oral cavity examination. The device area usually appears in the acquired images. A preprocessing stage, which consists of removing the device area, is required before the analysis of the images. In this paper we propose a method based on the Circular Hough transform (CHT) to detect auto fluorescence device part in the oral cavity images. The results revealed that the device area is successfully recognized whenever it is present in the image. {\^A}{\copyright} 2015 IEEE.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84965152747&doi=10.1109\%2fISSBES.2015.7435878&partnerID=40&md5=455e47318df585b7e28e3d8df9b76b7d},
        keywords = {Biomedical engineering; Fluorescence; Hough transforms; Students, Automatic removal; Circular Hough transforms; Fluorescence image; Oral cavity; Oral potential malignant disorder (OPMD), Feature extraction},
            isbn = {9781467378154},
          author = {Awais, M. and Faye, I. and Walter, N. and Saad, M. N.}
}