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Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis
Published 2025“…<p dir="ltr">This systematic review and meta-analysis comprehensively analyzes deep learning approaches for brain electron microscopy (EM) segmentation, addressing the critical challenge of extracting neuroanatomical information at nanometer resolution. …”
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Code-Mixed Street Address Recognition and Accent Adaptation for Voice-Activated Navigation Services
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Heart Disease Prediction using Machine Learning and Deep Learning Approaches
Published 2025“…Due to the expansion of electronic data in today’s world, healthcare departments are overburdened with extensive varieties of medical data, which requires proper modes of managing and extracting valuable information. …”
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UAE High School Students' Attitude Towards Traditional and Computer-Mediated Peer Response
Published 2010Get full text
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InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification
Published 2021“…We demonstrate the capabilities of our framework in the context of visual analysis and unsupervised classification of 2D histology images and 3D nuclear envelopes extracted from serial section electron microscopy stacks.</p><h2>Other Information</h2><p dir="ltr">Published in: Computers & Graphics<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.cag.2021.04.037" target="_blank">https://dx.doi.org/10.1016/j.cag.2021.04.037</a></p>…”