Publication:
A Comparison of DeeplabV3+ with Backbone CNNs: ResNet-18 vs. ResNet-50 for Glioblastoma Brain Tumor Segmentation in MRI Images

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Issued Date

2024-01-01

Resource Type

Conference Paper

DOI

10.1109/BMEiCON64021.2024.10896305

Scopus ID

2-s2.0-105000360799

Journal Title

16th Biomedical Engineering International Conference, BMEiCON 2024

Rights Holder(s)

SCOPUS

Bibliographic Citation

16th Biomedical Engineering International Conference, BMEiCON 2024 (2024)

Suggested Citation

A Comparison of DeeplabV3+ with Backbone CNNs: ResNet-18 vs. ResNet-50 for Glioblastoma Brain Tumor Segmentation in MRI Images. 16th Biomedical Engineering International Conference, BMEiCON 2024 (2024). doi:10.1109/BMEiCON64021.2024.10896305 Retrieved from: https://hdl.handle.net/20.500.14740/20653

Title

A Comparison of DeeplabV3+ with Backbone CNNs: ResNet-18 vs. ResNet-50 for Glioblastoma Brain Tumor Segmentation in MRI Images

Author's Affiliation

Srinakharinwirot University

Corresponding Author(s)

Yamcharoen N.

Other Contributor(s)

Srinakharinwirot University

Keyword(s)

Physics and Astronomy
 Engineering
 Computer Science

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URI

https://hdl.handle.net/20.500.14740/20653

Collections

Scopus: Year 2024

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