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Real-Time Image Dianosis Platform for Cervical Cancer Screening via Pap Smear Tests

Dr.Wibool Piyawattanametha

Department of Biomedical Engineering, School of Engineering, KMITL

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We aims to provide an ultra-fast whole slide imaging platform (hardware and software) with real-time image diagnosis capabilities based on our deep learning engine with a single mouse click. Our first target disease is cervical cancer screening via Pap smear tests. Typically, cervix cell samples will be swapped from a cervix and then be checked for abnormalities under a microscope which would normally take 10-15 mins per biopsy slide. Our technology can perform the same function within seconds. Furthermore, other diseases that need to be biopsied as gold standard procedures can also be diagnosed through our imaging platform.

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In collaboration with other universities and research teams across the country, these are some AI research projects being powered by the Apex AI Infrastructure.


CMKL University
1 Soi Chalongkrung 1