MACHINE LEARNING PREDICTION OF ENDO-PERIO LESIONS USING RADIOGRAPHIC IMAGE

Authors

  • Thiru Kumaran, Jeevitha, Jayalakshmi S Author

DOI:

https://doi.org/10.48047/em2vkw50

Keywords:

.

Abstract

The introduction to a machine learning prediction study on endo-perio lesions using radiographic images should outline the significance of the problem, current challenges in diagnosis, and the potential impact of predictive models

Downloads

Download data is not yet available.

References

Ahmad M, Durr-E-Sadaf, Gaikwad R, Arjumand B. Comparison of two different matrix band systems in restoring two surface cavities in posterior teeth done by senior undergraduate students at Qassim University, Saudi Arabia: A randomized controlled clinical trial [Internet]. Vol. 29, Indian Journal of Dental Research. 2018. p. 459. Available from: http://dx.doi.org/10.4103/ijdr.ijdr_26_17

Downloads

Published

2023-11-20

How to Cite

MACHINE LEARNING PREDICTION OF ENDO-PERIO LESIONS USING RADIOGRAPHIC IMAGE (Thiru Kumaran, Jeevitha, Jayalakshmi S , Trans.). (2023). Cuestiones De Fisioterapia, 52(3), 376-382. https://doi.org/10.48047/em2vkw50