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Interpretable 2D Deep Learning for Alzheimer's Detection from sMRI: A Lightweight Residual CNN Approach with Comprehensive Preprocessing and Stratified Data Partitioning.

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Title: Interpretable 2D Deep Learning for Alzheimer's Detection from sMRI: A Lightweight Residual CNN Approach with Comprehensive Preprocessing and Stratified Data Partitioning.
Authors: Ramineni, Vyshnavi1 (AUTHOR), Kim, Jun-Hyung1 (AUTHOR), Kwon, Goo-Rak1 (AUTHOR) grkwon@chosun.ac.kr
Source: Sensors (14248220). Jul2026, Vol. 26 Issue 13, p4100. 21p.
Database: Academic Search Ultimate
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  Data: Interpretable 2D Deep Learning for Alzheimer's Detection from sMRI: A Lightweight Residual CNN Approach with Comprehensive Preprocessing and Stratified Data Partitioning.
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  Data: <searchLink fieldCode="AR" term="%22Ramineni%2C+Vyshnavi%22">Ramineni, Vyshnavi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Jun-Hyung%22">Kim, Jun-Hyung</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kwon%2C+Goo-Rak%22">Kwon, Goo-Rak</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> grkwon@chosun.ac.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22Sensors+%2814248220%29%22">Sensors (14248220)</searchLink>. Jul2026, Vol. 26 Issue 13, p4100. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195439621
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        Value: 10.3390/s26134100
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      – TitleFull: Interpretable 2D Deep Learning for Alzheimer's Detection from sMRI: A Lightweight Residual CNN Approach with Comprehensive Preprocessing and Stratified Data Partitioning.
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              Text: Jul2026
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