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. 2023 Feb 23;2:e40167. doi: 10.2196/40167

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©Juliet Nabbuye Sekandi, Weili Shi, Ronghang Zhu, Patrick Kaggwa, Ernest Mwebaze, Sheng Li. Originally published in JMIR AI (https://ai.jmir.org), 23.02.2023.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR AI, is properly cited. The complete bibliographic information, a link to the original publication on https://www.ai.jmir.org/, as well as this copyright and license information must be included.

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Illustration of the building block of (a) ResNet, (b) 3D ResNet, and (c) 3D ResNext. BN: batch normalization; conv: convolution; F: number of feature channels; ReLu: rectified linear unit .