Publication:
Preprocessing Technique for Oral Lesion Classification using U-NET Segmentation

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Issued Date

2023-01-01

Resource Type

Conference Paper

DOI

10.1109/BMEiCON60347.2023.10322048

Scopus ID

2-s2.0-85179555819

Journal Title

BMEiCON 2023 - 15th Biomedical Engineering International Conference

Rights Holder(s)

SCOPUS

Bibliographic Citation

BMEiCON 2023 - 15th Biomedical Engineering International Conference (2023)

Suggested Citation

Preprocessing Technique for Oral Lesion Classification using U-NET Segmentation. BMEiCON 2023 - 15th Biomedical Engineering International Conference (2023). doi:10.1109/BMEiCON60347.2023.10322048 Retrieved from: https://hdl.handle.net/20.500.14740/20804

Title

Preprocessing Technique for Oral Lesion Classification using U-NET Segmentation

Author's Affiliation

King Mongkut's Institute of Technology Ladkrabang

Corresponding Author(s)

Dissorn P.

Other Contributor(s)

Srinakharinwirot University

Keyword(s)

Physics and Astronomy
 Engineering
 Computer Science

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Research Projects

Organizational Units

Journal Issue

URI

https://hdl.handle.net/20.500.14740/20804

Collections

Scopus: Year 2023

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Review

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Referenced By