CBIR-based diagnosis of dermatology Online publication date: Wed, 01-Jun-2022
by G. Wiselin Jiji; A. Rajesh; P. Johnson Durairaj
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 38, No. 4, 2022
Abstract: In this work, we have presented a computer aided diagnosis approach to assist the diagnosis process of dermatological diseases. The proposed framework is used to retrieve the images from skin lesions repository which in turn facilitates the dermatologist during the diagnosis process. The system used eigen disease spaces of respective diseases to converge the search space more efficiently. The results proved using receiver operating characteristic (ROC) curve that the proposed architecture has high contribute to computer-aided diagnosis (CAD) of skin lesions. Experiments on a set of 1,210 images yielded a specificity of 98.44% and a sensitivity of 86%. Our empirical evaluation has a superior retrieval and diagnosis performance when compared to the performance of other recent works.
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