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learning algorithm » learning algorithms (Expand Search)
multi algorithm » multiple algorithms (Expand Search), custom algorithm (Expand Search)
image learning » maze learning (Expand Search), aware learning (Expand Search), game learning (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
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Supplementary file 1_Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging features and various machine learning algorithms.docx
Published 2025“…The study extracted radiomic features from the tumor, whole lung, and erector spinae muscles of the patients and applied 11 machine learning algorithms to construct prediction models. …”
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Data Sheet 2_Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging features and various machine learning algorithms.pdf
Published 2025“…The study extracted radiomic features from the tumor, whole lung, and erector spinae muscles of the patients and applied 11 machine learning algorithms to construct prediction models. …”
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Data Sheet 1_Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging features and various machine learning algorithms.pdf
Published 2025“…The study extracted radiomic features from the tumor, whole lung, and erector spinae muscles of the patients and applied 11 machine learning algorithms to construct prediction models. …”
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Supplementary file 1_Towards standardizing mitral transcatheter edge-to-edge repair with deep-learning algorithm: a comprehensive multi-model strategy.docx
Published 2025“…</p>Methods<p>Three deep learning algorithms were developed using echocardiographic data from M-TEER patients performed at Montreal Heart Institute (2018–2025). 1. …”
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OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers
Published 2024“…To address this gap, we present a comprehensive multi-grader and multi-disease dataset fortraining machine learning-based algorithms. …”
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The studies using plain radiographs and deep-learning algorithm for screening.
Published 2025Subjects: -
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Classification results of deep learning algorithms with image features.
Published 2025“…<p>Classification results of deep learning algorithms with image features.</p>…”
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Classification results of machine learning algorithms with image features.
Published 2025“…<p>Classification results of machine learning algorithms with image features.</p>…”
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