Publication

Abstract : The World Health Organization identifies Anaemia as a health hazard condition affecting a quarter of the total world population, necessitating automated, quick, and reliable detection. To address this, an application was designed to capture eye and fingernail images using a mobile phone and classify them as anaemic or non-anaemic with accuracy as high as 91. A prepossessing pipeline was also presented for accurate localization and extraction of the eye and fingernail region from the input image. The proposed system has the potential to provide fast and efficient Anaemia diagnosis, with a recommendation system for patients to select a diet or consult a doctor. Additionally, the application shows the exact region filtered by the CNN algorithm.