Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...

Researchers from Science Tokyo develop a Multi-scale Hessian-enhanced Patch-based Neural Network Model for Segmentation of Liver Tumor from CT Scans. Liver cancer is the sixth most common cancer ...

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On Wednesday, Meta announced an AI model called the Segment Anything Model (SAM) that can identify individual objects in images and videos, even those not encountered during training, reports Reuters.

Meta has introduced the Segment Anything Model, which aims to set a new bar for computer-vision-based ‘object segmentation’—the ability for computers to understand the difference between individual ...

Targeting and segmentation are part of a three-part process referred to as STP. STP stands for segmentation, targeting and positioning, processes that involve taking a close look at your potential ...

Market segmentation theory shows bond interest rates are set independently per maturity segment. The yield curve plots differences in yields across various bond maturities to assess economic ...