(a) Segment Image without Enhancement (Green lines indicates the missing Vessels (b) Segment Image with Enhancement. حسب Hesham Abdushkour (16617908)

(a-topleft) The original image in RGN color space, (b-topright) the hard segmentation output of the GFkuts algorithm after 5 iterations, (c-bottomleft) the soft segmentation result of the GF refinement, (d-bottomright) and the adaptive thresholding output to create a binary mask of the canopy. حسب Julian D. Colorado (9461385)

"…<p>(a-topleft) The original image in RGN color space, (b-topright) the hard segmentation output of the GFkuts algorithm after 5 iterations, (c-bottomleft) the soft segmentation result of the GF refinement, (d-bottomright) and the adaptive thresholding output to create a binary mask of the canopy.…"

Displays the various images obtained during the segmentation process. حسب Hesham Abdushkour (16617908)

Demonstration of (a) Earphone image and (b) Otsu binarization result. حسب JianWu Long (10731271)

Overview of the segmentation algorithm. حسب Michael C. Robitaille (11949174)

"…<p>A) Two consecutive image frames are used to calculate the optical flow via the Farnebäck algorithm, which utilizes a multi-level resolution pyramid to estimate intensity displacements between the two frames. …"

Output of the 2nd order multi-dimensional Gaussian derivative identifier, where (a) denotes the primary output with the maximum value, and (b) represents the normalized factor appl... حسب Hesham Abdushkour (16617908)

Oriented Diffusion Output, where (a) represents the retinal image prior to applying the Coherent Anisotropic Diffusion filtering operation, and (b) represents the proposed scheme o... حسب Hesham Abdushkour (16617908)

<b>BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification</b> حسب BRISC Dataset (22559540)

"…<p dir="ltr"><b>BRISC 2025 — Brain Tumor MRI Dataset</b></p><p dir="ltr">BRISC (BRain tumor Image Segmentation & Classification) — a curated, expert-annotated T1 MRI dataset for multi-class brain tumor classification and pixel-wise segmentation.…"

tUbenet Foundation Model Weights حسب Natalie Holroyd (7099391)

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

Receiver Operating Characteristic (ROC) curves for classification of vessels pixels on the DRIVE and STARE databases. حسب Hesham Abdushkour (16617908)

Fig 11 - حسب Hesham Abdushkour (16617908)

Comparative study of the results obtained by our proposed method and those of Nguyen et al. [49], Hou [50], and Zhao et al. [51] is presented. حسب Hesham Abdushkour (16617908)

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

MRCNN+Watershed workflow. حسب Anuradha Kar (12418362)

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

"…This is combined with a probabilistic framework that estimates the pixel-wise posteriors between the foreground (catheter) and background delimited by the b-spline tube contour. The output of the algorithm was manually checked and corrected to provide the final catheter segmentation.…"

Performance of the model on the validation dataset of EFSI. حسب Anna Demchenko (18449439)

Objective performance of fully-automated SLAVV software. حسب Samuel A. Mihelic (11539996)

PathOlOgics_RBCs Python Scripts.zip حسب Ahmed Elsafty (16943883)

"…<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. …"

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

"…<p dir="ltr">These images and associated binary labels were collected from collaborators across multiple universities to serve as a diverse representation of biomedical images of vessel structures, for use in the training and validation of machine learning tools for vessel segmentation. …"