Search Results - (sam OR same)e segmentation

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    Deep Learning Classification of Systemic Sclerosis Skin Using the MobileNetV2 Model by Metin Akay, Yong Du, Cheryl L. Sershen, Minghua Wu, Ting Y. Chen, Shervin Assassi, Chandra Mohan, Yasemin M. Akay

    Published 2021-01-01
    “…The training time was less than 5 hours. We also analyzed the same normal vs SSc skin image sets using the CNN using the same laptop. …”
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    A Novel Supervoxel-Based NE-PC Model for Separating Wood and Leaf Components from Terrestrial Laser Scanning Data by Shengqin Gong, Xin Shen, Lin Cao

    Published 2025-06-01
    “…The precise extractions of tree components such as wood (i.e., trunk and branches) and leaves are fundamental prerequisites for obtaining the key attributes of trees, which will provide significant benefits for ecological and physiological studies and forest applications. …”
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    Central Serous Chorioretinopathy from the Point of View of OCT-Angiography. Part 1. Chorioretinal Blood Flow Changes by A. G. Shchuko, S. I. Zhukova, T. N. Iureva, A. N. Zlobina

    Published 2018-10-01
    “…Numerous recent studies indicate that the key mechanism for the development of central serous chorioretinopathy (CSR) is damage to retinal pigment epithelium (RPE). At the same time, the reports appeared in recent years indicate that an equally important link in pathogenesis is the disturbances of the choroidal blood flow. …”
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    AI-Enhanced 3D Transperineal Ultrasound: Advancing Biometric Measurements for Precise Prolapse Severity Assessment by Desirèe De Vicari, Marta Barba, Alice Cola, Clarissa Costa, Mariachiara Palucci, Matteo Frigerio

    Published 2025-07-01
    “…In apical prolapse, the laterolateral diameter measured at rest and during both Valsalva and contraction showed positive correlations with POP-Q point C, indicating increasing transverse pelvic dimensions with more advanced prolapse (e.g., r = 0.42 to 0.58; <i>p</i> < 0.05). In anterior compartment prolapse, the same parameter measured during Valsalva and contraction correlated significantly with POP-Q point AA (e.g., r = 0.45 to 0.61; <i>p</i> < 0.05). …”
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    GreenNet: A dual-encoder network for urban green space classification using high-resolution remotely sensed images by Ke Chen, Yang Wang, Cunrui Huang, Jing Wang, Sabrina L. Li, Haiyan Guan, Lingfei Ma

    Published 2025-08-01
    “…Finally, to ensure classification consistency along class boundaries, a boundary loss is computed using edge-defined images, which are generated by a pre-trained Segmenting Anything Model (SAM) from the raw input image. …”
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    Studia Wstępne z Dziedziny Skręcania Kadłuba Okrętu na Fali Skośnej by Jerzy Klott, Jarosław Naleszkiewicz, Jerzy Rutecki, Kazimierz Wituszyński

    Published 1955-12-01
    “… To begin with, the problem of torsion with axial constraints of a bar of simplified cross-section is considered, the principal characteristics concerning the connectivity of cross-section being the same as for the hull of the real ship. These simplified cross-sections are shown in Figs. 1 to 14. …”
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