# Applying machine learning to assess the morphology of sculpted teeth
> Fan F.Y.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85173380706
Jurnal / Konferensi: Journal of Dental Sciences
Tahun terbit: 2024
DOI: https://doi.org/10.1016/j.jds.2023.09.023
ISSN: 19917902
Kuartil SJR: Q1
Citations: 5

## Authors
- Fan F.Y.

## Abstract
This study established a set of procedures that can judge the quality of hand-carved plaster sticks and teeth, and the accuracy rate is about 70%-75%. It is expected that this process can be used to assist dental technicians in judging the pros and cons of hand-carved plaster sticks and teeth, so as to help dental technicians to learn the tooth morphology more effectively.

## Keywords
- Morphology (biology)
- Dentistry
- Computer science
- Artificial intelligence
- Geology
- Medicine
- Paleontology

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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