Lightweight 3D U-Net for Brain Tumor Segmentation on CPUs: Enabling Deep Learning in Low-Resource Environments

Ayomide B. Oladele, Raymond Confidence, Dong Zhang 0009, Charity Umoren, Aondona M. Iorumbur, Ifeoluwa Oladeji, Tolulope Olusuyi, Gamaliel Adebayo, Anu Gbadamosi, Oluyemisi Toyobo, Farouk Dako, Abiodun Fatade, Maruf Adewole, Udunna Anazodo. Lightweight 3D U-Net for Brain Tumor Segmentation on CPUs: Enabling Deep Learning in Low-Resource Environments. In Udunna Anazodo, Dong Zhang 0009, Confidence Raymond, Mehmet Kurt, Karim Lekadir, Alessandro Crimi, editors, Medical Image Computing in Resource Constrained Settings - First International Workshop, MIRASOL 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings. Volume 16398 of Lecture Notes in Computer Science, pages 52-61, Springer, 2025. [doi]

Authors

Ayomide B. Oladele

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Raymond Confidence

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Dong Zhang 0009

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Charity Umoren

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Aondona M. Iorumbur

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Ifeoluwa Oladeji

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Tolulope Olusuyi

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Gamaliel Adebayo

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Anu Gbadamosi

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Oluyemisi Toyobo

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Farouk Dako

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Abiodun Fatade

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Maruf Adewole

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Udunna Anazodo

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