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A Trustable Spine Abnormalities Classification System Using ResNet50 and VGG16 Supported by Explainable Artificial Intelligence.

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Title: A Trustable Spine Abnormalities Classification System Using ResNet50 and VGG16 Supported by Explainable Artificial Intelligence.
Authors: Ahmad, Muhammad Shahrul Zaim1 (AUTHOR), Ab. Aziz, Nor Azlina1,2 (AUTHOR) azlina.aziz@mmu.edu.my, Lim, Heng Siong1,3 (AUTHOR), Ghazali, Anith Khairunnisa2,4 (AUTHOR), Ahmad, Mubashir3,5 (AUTHOR), Amirabdollahian, Farshid1,3 (AUTHOR), Latiff, Afif Abdul2,4 (AUTHOR), Ab. Aziz, Kamarulzaman3,5 (AUTHOR)
Source: Biomimetics (2313-7673). Mar2026, Vol. 11 Issue 3, p206. 21p.
Database: Academic Search Ultimate
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  Data: A Trustable Spine Abnormalities Classification System Using ResNet50 and VGG16 Supported by Explainable Artificial Intelligence.
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  Data: <searchLink fieldCode="JN" term="%22Biomimetics+%282313-7673%29%22">Biomimetics (2313-7673)</searchLink>. Mar2026, Vol. 11 Issue 3, p206. 21p.
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