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Frontiers23d
A deep learning model for the localization and extraction of brain tumors from MR images using YOLOv7 and grab cut algorithm - Frontiers
The flood-fill algorithm is used to identify or modify adjacent values in the image based on their similarity to the original values. Furthermore, masking was performed to identify a specific Region ...
Morningstar1mon
MicroAlgo Inc. Develops Quantum Edge Detection Algorithm, Offering New Solutions for Real-Time Image Processing and Edge Intelligence Devices - Morningstar
SHENZHEN, China, May 1, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced today that their newly developed quantum edge detection algorithm has broken ...
Hosted on MSN2mon
Quick Tip: Combine, Split, and Merge Designs in Inkscape - MSN
"Quick tip: Learn how to combine, split, and merge designs in Inkscape for smoother projects." #InkscapeTips #DesignSoftware #TechTips. More for You.
Medical Xpress7mon
Algorithms based on deep learning can improve medical image analysis
Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right). Credit: Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00912-9 ...
GitHub8mon
GitHub - jegilles/BregmanCookbook-Matlab: Different image processing algorithms implemented using the split Bregman iterations
Different image processing algorithms implemented using the split Bregman iterations. Current version: 3.2 - Convergence criteria are updated (fix some bugs) and homogenize for all functions + test ...
IEEE1y
A Nonparametric Split and Kernel-Merge Clustering Algorithm
This work proposes a novel split and kernel-merge clustering (S-KMC), a nonparametric clustering algorithm that combines the strengths of hierarchical clustering, partitional clustering, and ...