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Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis
منشور في 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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MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography
منشور في 2025"…We introduce a state-of-the-art computer vision pipeline, built on deep learning architectures, for segmenting and classifying individual microcrystals from SEM images. …"
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Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
منشور في 2020"…ML in bioinformatics and epidemiology in particular grew drastically, powered by the proliferation of Electronic Medical Records (EMR) in healthcare systems worldwide and the efficiency of new programmatic and computational tools supporting Artificial Intelligence (AI) application. …"
احصل على النص الكامل
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BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data
منشور في 2023"…The presented system employs a machine learning module that learns the required knowledge from the datasets collected from 930 COVID-19 patients hospitalized in Italy during the first wave of COVID-19 (March–June 2020). …"
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Artificial Intelligence for Skin Cancer Detection: Scoping Review
منشور في 2021"…Hence, to aid in diagnosing skin cancer, artificial intelligence (AI) tools are being used, including shallow and deep machine learning–based methodologies that are trained to detect and classify skin cancer using computer algorithms and deep neural networks.…"
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InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification
منشور في 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>…"
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