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novel image recognition algorithm  (FUJIFILM)

 
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    FUJIFILM novel image recognition algorithm
    Novel Image Recognition Algorithm, supplied by FUJIFILM, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/image+recognition+algorithm/novel+image+recognition+algorithm/pm25783817-30-46-51
    Average 90 stars, based on 1 article reviews
    novel image recognition algorithm - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Software:

    Article Title: Feasibility and accuracy of computational robot-assisted partial nephrectomy planning by virtual partial nephrectomy analysis.
    Article Snippet: Virtual PN analysis was accomplished using the Synapse Vincent System version 4 (FUJIFILM Corporation, Tokyo, Japan). .. showing the renal vascular-supplied area, with details of the segmented renal anatomical structures and reconstruction as one 3-D image The renal parenchymal and cortical region was first extracted by the software automatically, automatic-tracing the edge of each kidney from the cross-sectional MDCT images, using the novel image recognition algorithm created by FUJIFILM.3 Then the extraction of the renal structures was carried out. ..

    Extraction:

    Article Title: Feasibility and accuracy of computational robot-assisted partial nephrectomy planning by virtual partial nephrectomy analysis.
    Article Snippet: Virtual PN analysis was accomplished using the Synapse Vincent System version 4 (FUJIFILM Corporation, Tokyo, Japan). .. showing the renal vascular-supplied area, with details of the segmented renal anatomical structures and reconstruction as one 3-D image The renal parenchymal and cortical region was first extracted by the software automatically, automatic-tracing the edge of each kidney from the cross-sectional MDCT images, using the novel image recognition algorithm created by FUJIFILM.3 Then the extraction of the renal structures was carried out. ..



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    Image Search Results


    Two-dimensional accumulation arrays of obtained by image-recognition method in MATLAB for ( a ) whole image and ( b ) enlarged image, with the corresponding three-dimensional accumulation arrays shown in ( c ) and ( d ). Local peaks in the 2D and 3D accumulation arrays correspond to the locations of pits.

    Journal: Materials

    Article Title: Multiscale Statistical Analysis of Massive Corrosion Pits Based on Image Recognition of High Resolution and Large Field-of-View Images

    doi: 10.3390/ma13214695

    Figure Lengend Snippet: Two-dimensional accumulation arrays of obtained by image-recognition method in MATLAB for ( a ) whole image and ( b ) enlarged image, with the corresponding three-dimensional accumulation arrays shown in ( c ) and ( d ). Local peaks in the 2D and 3D accumulation arrays correspond to the locations of pits.

    Article Snippet: Sizes and locations of pits in the corrosion image were obtained using the image recognition algorithm in MATLAB software.

    Techniques: