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tissue segmentation with otsu thresholding  (Lunit Inc)

 
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    Lunit Inc tissue segmentation with otsu thresholding
    Tissue Segmentation With Otsu Thresholding, supplied by Lunit Inc, 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/tissue+segmentation+with+otsu+thresholding/tissue+segmentation+with+otsu+thresholding/pm30861443-173-28-21
    Average 90 stars, based on 1 article reviews
    tissue segmentation with otsu thresholding - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.
    Article Snippet: Team name Use of additional training data Preprocessing ROI detection Mitosis detection Predictions for Task 1 Predictions for Task 2 LUNIT Lunit Inc., Korea No Tissue segmentation with Otsu thresholding (Otsu, 1979); staining normalization (Macenko et al., 2009) Based on cell density estimated with CellProfiler (Kamentsky et al., 2011) ResNet architecture (He et al., 2015); hard negative mining SVM classifier with 21 types of features related to cell and mitotic figures density Rank for Task 1: 1 SVM for regression, same features as for Task 1 Rank for Task 2: 2 CONTEXTVISION Contextvision, Sweden (SLDESUTO-BOX) No None Based on heuristic mapping of the color channels that highlights dark tumor areas Architecture similar to Cireşan et al. (2013); hard negative mining Heuristic based on the response on mitosis detection in the ROIs Rank for Task 1: 3 Same as for Task 1 Rank for Task 2: 4 SECTRA Sectra, Sweden Yes; non-ROI annotations None Based on classification with a four-layer CNN Six-layer CNN; hard negative mining Heuristic based on the response on mitosis detection in the ROIs Rank for Task 1: 4 d.n.p. .. Team name Use of additional training data Preprocessing ROI detection Mitosis detection Predictions for Task 1 Predictions for Task 2 LUNIT Lunit Inc., Korea No Tissue segmentation with Otsu thresholding (Otsu, 1979); staining normalization (Macenko et al., 2009) Based on cell density estimated with CellProfiler (Kamentsky et al., 2011) ResNet architecture (He et al., 2015); hard negative mining SVM classifier with 21 types of features related to cell and mitotic figures density Rank for Task 1: 1 SVM for regression, same features as for Task 1 Rank for Task 2: 2 CONTEXTVISION Contextvision, Sweden (SLDESUTO-BOX) No None Based on heuristic mapping of the color channels that highlights dark tumor areas Architecture similar to Cireşan et al. (2013); hard negative mining Heuristic based on the response on mitosis detection in the ROIs Rank for Task 1: 3 Same as for Task 1 Rank for Task 2: 4 SECTRA Sectra, Sweden Yes; non-ROI annotations None Based on classification with a four-layer CNN Six-layer CNN; hard negative mining Heuristic based on the response on mitosis detection in the ROIs Rank for Task 1: 4 d.n.p. ..



    Similar Products

    tissue segmentation with otsu thresholding  (Lunit Inc)
    90
    Lunit Inc tissue segmentation with otsu thresholding
    Tissue Segmentation With Otsu Thresholding, supplied by Lunit Inc, 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/tissue+segmentation+with+otsu+thresholding/tissue+segmentation+with+otsu+thresholding/pm30861443-173-28-21
    Average 90 stars, based on 1 article reviews
    tissue segmentation with otsu thresholding - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

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