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Showing 1 - 20 results of 47 for search '(( binary data image segmentation algorithm ) OR ( binary image scale optimization algorithm ))', query time: 0.66s Refine Results
  1. 1
    tUbenet Foundation Model Weights

    tUbenet Foundation Model Weights by Natalie Holroyd (7099391)

    Published 2025
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  2. 2
    Random forest binary classification of the colorized Corona image for the RSK region, Morocco (1972).

    Random forest binary classification of the colorized Corona image for the RSK region, Morocco (1972). by Safia Loulad (16913691)

    Published 2023
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  3. 3
    Validation of image processing steps and metric results using images of a microfluidic device.

    Validation of image processing steps and metric results using images of a microfluidic device. by Gavrielle R. Untracht (11820311)

    Published 2021
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  4. 4
    Schematic representation of semi-automated algorithm for organoids analyzing.

    Schematic representation of semi-automated algorithm for organoids analyzing. by Anna Demchenko (18449439)

    Published 2025
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  5. 5
    Hair removal preprocessing using the DullRazor algorithm before image generation.

    Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

    Published 2025
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  6. 6
    Particle tracking validation of the S8 algorithm.

    Particle tracking validation of the S8 algorithm. by Jennifer M. Knighten (15453354)

    Published 2023
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  7. 7
    Flowchart of software workflow.

    Flowchart of software workflow. by Gavrielle R. Untracht (11820311)

    Published 2021
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  8. 8
    PathOlOgics_RBCs Python Scripts.zip

    PathOlOgics_RBCs Python Scripts.zip by Ahmed Elsafty (16943883)

    Published 2023
    “…<p dir="ltr">The first algorithm for segmentation and localization (see PathOlOgics_script_1; segment & localize using a pen) relied on manually tracing the borders of each cell using a digital pen tool on a big touchscreen display showing source images/patches. …”
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  9. 9
    3D Microvascular Image Data and Labels for Machine Learning

    3D Microvascular Image Data and Labels for Machine Learning by Natalie Holroyd (7099391)

    Published 2024
    “…The image data has been processed using an asymmetric deconvolution algorithm described by ​Walsh et al., 2020​. …”
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  10. 10
    PET/CT data for PDL auto-segmentation project

    PET/CT data for PDL auto-segmentation project by Kareem Wahid (9944579)

    Published 2024
    “…Each case contains a CT image, PET image, and primary gross tumor volume segmentation (binary mask), all in NIfTI format. …”
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  11. 11
    NuSeT efficiently addresses common segmentation challenges.

    NuSeT efficiently addresses common segmentation challenges. by Linfeng Yang (516708)

    Published 2020
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  12. 12
    WEISS Catheter Segmentation in Fluoroscopy Dataset

    WEISS Catheter Segmentation in Fluoroscopy Dataset by Evangelos Mazomenos (6761597)

    Published 2023
    “…Each data group contains the following number of images: T1 – 286, T2 – 150, T3 – 200, T4 – 200, T5 – 143, T6 – 228.…”
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  13. 13
    Key steps in neurodegeneration detection algorithm.

    Key steps in neurodegeneration detection algorithm. by Andrew S. Clark (16510496)

    Published 2023
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  14. 14
    Visualization of the image segmentation and labeling pipeline for the first frame of an example movie.

    Visualization of the image segmentation and labeling pipeline for the first frame of an example movie. by Miriam Schnitzerlein (21446136)

    Published 2025
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  15. 15
    Graphical representation of KerTAD algorithm.

    Graphical representation of KerTAD algorithm. by Luka Maisuradze (8791229)

    Published 2024
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  16. 16
    UNet++ type architecture [68] used for all the problems in this paper.

    UNet++ type architecture [68] used for all the problems in this paper. by Dylan D. Ray (3741823)

    Published 2024
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  17. 17
    Min-Cut/Max-Flow Problem Instances for Benchmarking

    Min-Cut/Max-Flow Problem Instances for Benchmarking by Patrick Møller Jensen (7232042)

    Published 2022
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  18. 18
    The steps of proposed method of RWMA detection using echocardiography images for RWMA detection, consisting with cardiac structure segmentation using a trained U-Net on both A4C and A2C echo frames, resulting in segmented echo frames; motion features engineering with optical flow frames in both the A4C and A2C views, with backbone Temporal ConvNets to analysis the X and Y components of the motion; RWMA detection, using extracted features are fed into a suite of ML classifiers—including KNN, DT, Random Forest, SVM, and MLP—to achieve binary classification for the presence of RWMA or non-RWMA conditions.

    The steps of proposed method of RWMA detection using echocardiography images for RWMA detection, consisting with cardiac structure segmentation using a trained U-Net on both A4C an... by Sazzli Kasim (11218558)

    Published 2024
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  19. 19
    Chákṣu IMAGE: A glaucoma-specific fundus image database

    Chákṣu IMAGE: A glaucoma-specific fundus image database by Harish Kumar J R (12958519)

    Published 2023
    “…The folder 5.0_OD_OC_Mean_Median_Majority_STAPLE in the Train/Test set contains the overlay, mean, median, majority, and STAPLE algorithm based gold standard binary images obtained from the binary images of doctors annotations. …”
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  20. 20
    MARGO workflow, tracking algorithm, and sample behavioral box.

    MARGO workflow, tracking algorithm, and sample behavioral box. by Zach Werkhoven (6473165)

    Published 2019
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