Showing 521 - 535 results of 535 for search '(image OR images) clustering algorithm', query time: 0.13s Refine Results
  1. 521
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    Optimizing Stroke Risk Prediction: A Primary Dataset‐Driven Ensemble Classifier With Explainable Artificial Intelligence by Md. Maruf Hossain, Md. Mahfuz Ahmed, Md. Rakibul Hasan Rakib, Mohammad Osama Zia, Rakib Hasan, Md. Rakibul Islam, Md. Shohidul Islam, Md Shahariar Alam, Md. Khairul Islam

    Published 2025-05-01
    “…Future work will focus on incorporating deep learning techniques and medical imaging to further improve classification accuracy and model performance.…”
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    Article
  3. 523

    Topography of the chimpanzee corpus callosum. by Kimberley A Phillips, William D Hopkins

    Published 2012-01-01
    “…We investigated the topography of the CC in 21 chimpanzees using high-resolution magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI). …”
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  4. 524
  5. 525

    Structure of dimerized assimilatory NADPH-dependent sulfite reductase reveals the minimal interface for diflavin reductase binding by Behrouz Ghazi Esfahani, Nidhi Walia, Kasahun Neselu, Yashika Garg, Mahira Aragon, Isabel Askenasy, Hui Alex Wei, Joshua H. Mendez, M. Elizabeth Stroupe

    Published 2025-03-01
    “…Using a previously characterized minimal heterodimer reduces the heterogeneity of a structurally heterogeneous complex to a level that we analyze using multi-conformer cryo-EM image analysis algorithms. Here, we report the near-atomic resolution structure of the flavoprotein/hemoprotein complex, revealing how they interact in a minimal interface. …”
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  6. 526

    Comprehensive analysis of mRNA and lncRNA expression for predicting lymph node metastasis in cervical cancer: a novel seven-gene signature approach by Jiahui Wei, Ming Wang, Yumei Wu

    Published 2025-05-01
    “…ObjectiveLymph node metastasis (LNM) critically determines recurrence and survival in cervical cancer (CC), yet current imaging-based methods lack accuracy. Retroperitoneal lymph node dissection leads to many adverse events. …”
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    Article
  7. 527

    Radiomics-based Machine Learning Approach to Predict Chemotherapy Responses in Colorectal Liver Metastases by Yuji Miyamoto, Takeshi Nakaura, Mayuko Ohuchi, Katsuhiro Ogawa, Rikako Kato, Yuto Maeda, Kojiro Eto, Masaaki Iwatsuki, Yoshifumi Baba, Toshinori Hirai, Hideo Baba

    Published 2025-01-01
    “…Employing Random Forest and Boruta algorithms, we identified significant features for responder-non-responder differentiation. …”
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  8. 528
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    Classification of Real-World Objects Using Supervised ML-Assisted Polarimetry: Cost/Benefit Analysis by Rui M. S. Pereira, Filipe Oliveira, Nazar Romanyshyn, Irene Estevez, Joel Borges, Stephane Clain, Mikhail I. Vasilevskiy

    Published 2024-11-01
    “…It can work as a complementary technology of surroundings’ imaging that can be used, in particular, in autonomous driving. …”
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  10. 530

    Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

    Published 2025-12-01
    “…Although porescale imaging and network modeling techniques can compute capillary pressure from micro-CT rock images (Øren and Bakke, 2003; Valvatne and Blunt, 2004), these approaches are time-consuming, limited to small sample volumes, and not yet practical for routine reservoir evaluation. …”
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  11. 531

    Meta-Features Extracted from Use of kNN Regressor to Improve Sugarcane Crop Yield Prediction by Luiz Antonio Falaguasta Barbosa, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette, Bruno Tisseyre

    Published 2025-05-01
    “…A comparative analysis is presented with a projection based on the Uniform Manifold Approximation and Projection (UMAP) algorithm, showing that MFs had more proximity than the original features when projected, which demonstrates that MFs revealed a clear formation of well-defined clusters, with most points within each group sharing the same color, suggesting greater uniformity in the predicted values. …”
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  14. 534

    Malignant Transformation of Renal Cyst with Bosniak I Features by Sandra Ćulap, Filip Brkić, Andro Matković, Jelena Svetec, Nikolina Jurjević, Katarina Horvat Pavlov, Vinko Vidjak, Thomas Ferenc

    Published 2025-05-01
    “…The Bosniak classification categorizes renal cystic lesions based on cross-sectional imaging features from clearly benign (Bosniak type I) to malignant lesions (Bosniak type IV). …”
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  15. 535

    Narrowband shortwave minima in spectra of backscattered light from the sea obtained from ocean color scanners as a remote indication of algal blooms by G.S. Karabashev, M.A. Evdoshenko

    Published 2016-10-01
    “…Further studies are needed to convert the indices to band-difference algorithms for retrieving the bio-optical characteristics of algal blooms.…”
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