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Multimodal Brain Tumor Segmentation Using Transformer and UNET · Peerford

conference paper · Conference · 2023

Multimodal Brain Tumor Segmentation Using Transformer and UNET

Isaac Osei, Benjamin Appiah-Kubi, Bill K. Frimpong, James Ben Hayfron-Acquah, Kwabena Owusu-Agyemang, Samuel Ofori-Addo and 2 more

2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)

Closed access
International · 2 countries

Go to the publisher 10.1109/iccwamtip60502.2023.10387113

Citations: 3from other works
Field-weighted impact: 0.331.00 is the world average for its field and year
Among its field: 67th percentileby citations, against works of its field and year
Authors: 8from 5 institutions

Authors

8 authors across 5 institutions in 2 countries

Isaac OseiFirst author
- Ho Technical University (GH)
- Kwame Nkrumah University of Science and Technology (GH)
Benjamin Appiah-Kubi
- Ho Technical University (GH)
Bill K. Frimpong
- Ho Technical University (GH)
as printed: Bill Kissi Frimpong
James Ben Hayfron-Acquah
- Kwame Nkrumah University of Science and Technology (GH)
Kwabena Owusu-Agyemang
- Kwame Nkrumah University of Science and Technology

(GH)

Samuel Ofori-Addo

University of Cape Coast (GH)

Regina Esi Turkson

Cobbinah Bernard MawuliSenior author

University of Ghana (GH)

Countries on it

China
Ghana

Also on it

University of Electronic Science and Technology of Chinaeducation · CN

Fields

A work can sit in several, each with a score

Advanced Neural Network ApplicationsTopic
Brain Tumor Detection and ClassificationTopic
Medical Image Segmentation TechniquesTopic