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Researchers from Nanyang Technological University, Wuhan University, and ByteDance have proposed a novel paradigm Text4Seg++, ...
Image preprocessing is the first step in OCR technology, aimed at improving image quality to create favorable conditions for subsequent character recognition. Vehicle document images may be affected ...
A product photo on Shein briefly appeared to show the likeness of Luigi Mangione, the 26-year-old accused of murdering ...
Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.
1 College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China 2 Institute for Complexity Science, Henan University of Technology, Zhengzhou, China Tongue is ...
Great job! Can you give an example of file organization for 2D image segmentation? #5 New issue Open techleadchan ...
Underwater images segmentation is essential for tasks such as underwater exploration, marine environmental monitoring, and resource development. Nevertheless, given the complexity and variability of ...
Accurate medical image segmentation is crucial for precise anatomical delineation. Deep learning models like U-Net have shown great success but depend heavily on large datasets and struggle with ...
Abstract: Medical image segmentation often relies on fully automated methods, but achieving the necessary accuracy in clinical settings can be challenging. Interactive segmentation methods attempt to ...
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