1. Articles from Luis A. P. Dallan

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    1. Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features

      Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features

      For intravascular OCT (IVOCT) images, we developed an automated atherosclerotic plaque characterization method that used a hybrid learning approach, which combined deep-learning convolutional and hand-crafted, lumen morphological features. Processing was done on innate A-line units with labels fibrolipidic (fibrous tissue followed by lipidous tissue), fibrocalcific (fibrous tissue followed by calcification), or other. We trained/tested on an expansive data set (6,556 images), and performed an active learning, relabeling step to improve noisy ground truth labels. Conditional random field was an important post-processing step to reduce classification errors. Sensitivities/specificities were 84.8%/97.8% and 91.4%/95.7 ...

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  2. Topics in the News

    1. (1 articles) Case Western Reserve University
    2. (1 articles) Cleveland Clinic
    3. (1 articles) David L. Wilson
    4. (1 articles) Hiram G. Bezerra
    5. (1 articles) Thomas Jefferson University
    6. (1 articles) Massachusetts General Hospital
    7. (1 articles) Polytechnique Montreal
    8. (1 articles) Wakayama Medical University
    9. (1 articles) Masamichi Takano
    10. (1 articles) Carol L. Shields
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    12. (1 articles) Theo Lasser
    13. (1 articles) Christoph Hauger
    14. (1 articles) Carl Zeiss Meditec
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