Hoque-Tania_et_al_2018.pdf (1.66 MB)
Advances in automated tongue diagnosis techniques
journal contribution
posted on 2023-07-26, 14:25 authored by Marzia Hoque Tania, Khin T. Lwin, Mohammed Alamgir HossainThis 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.
History
Refereed
- Yes
Volume
8Issue number
1Page range
42-56Publication title
Integrative Medicine ResearchISSN
2213-4220External DOI
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ElsevierFile version
- Published version
Language
- eng
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Legacy posted date
2018-08-31Legacy creation date
2018-08-31Legacy Faculty/School/Department
ARCHIVED Faculty of Science & Technology (until September 2018)Usage metrics
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