Background: Detection and segmentation of brain tumors using MR images are challenging and valuable tasks in the medical field. Early diagnosing and localizing of brain tumors can save lives and ...

AlphaGenome, accessible via API, cracks the “junk DNA” code, outperforms top rivals in key tests, and puts advanced genomics ...

Fully-supervised deep neural networks have achieved remarkable progress in medical image segmentation, yet they heavily rely on extensive manually labeled data and exhibit inflexibility for unseen ...

Apple’s latest research hints that a long-forgotten AI technique could have new potential for generating images. Here’s the ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

These methods often encounter issues of under-segmentation or over-segmentation and are sensitive to noise artifacts. Deep learning has been widely applied in teeth image segmentation, with its ...

Net, precisely detects rice pests. Combining two powerful AI methods, it analyzes images to understand both tiny details and ...