Advances in automated tongue diagnosis techniques

Hoque Tania, Marzia and Lwin, Khin T. and Hossain, Mohammed Alamgir (2019) Advances in automated tongue diagnosis techniques. Integrative Medicine Research, 8 (1). pp. 42-56. ISSN 2213-4220

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Official URL: http://dx.doi.org/10.1016/j.imr.2018.03.001

Abstract

This paper reviews the recent advances in a significant constituent of traditional oriental medicinal technology, called tongue diagnosis. Tongue diagnosis can be an effective, noninvasive method to perform an auxiliary diagnosis any time anywhere, which can support the global need in the primary healthcare system. This work explores the literature to evaluate the works done on the various aspects of computerized tongue diagnosis, namely preprocessing, tongue detection, segmentation, feature extraction, tongue analysis, especially in traditional Chinese medicine (TCM). In spite of huge volume of work done on automatic tongue diagnosis (ATD), there is a lack of adequate survey, especially to combine it with the current diagnosis trends. This paper studies the merits, capabilities, and associated research gaps in current works on ATD systems. After exploring the algorithms used in tongue diagnosis, the current trend and global requirements in health domain motivates us to propose a conceptual framework for the automated tongue diagnostic system on mobile enabled platform. This framework will be able to connect tongue diagnosis with the future point-of-care health system.

Item Type: Journal Article
Keywords: Automated tongue diagnosis, Image processing, Machine learning, Mobile-enabled systems, Clinical decision support systems
Faculty: Faculty of Science & Technology
SWORD Depositor: Symplectic User
Depositing User: Symplectic User
Date Deposited: 31 Aug 2018 11:22
Last Modified: 16 Apr 2019 10:46
URI: http://arro.anglia.ac.uk/id/eprint/703531

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