2024
DOI: 10.1101/2024.01.07.24300957
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Applying Multimodal Data Fusion based on Deep Learning Methods for the Diagnoses of Neglected Tropical Diseases: A Systematic Review

Yohannes Minyilu,
Mohammed Abebe,
Million Meshesha

Abstract: Neglected tropical diseases (NTDs) are the most prevalent diseases worldwide affecting one-tenth of the world population. Although there are multiple approaches to diagnosing these diseases, using skin manifestations and lesions caused as a result of these diseases along with other medical records is the preferred method. This fact triggers the need to explore and implement a deep learning-based diagnostic model using multimodal data fusion (MMDF) techniques to enhance the diagnostic process. This paper, thus,… Show more

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