India’s housing market is set for steady, value-led growth in 2026, with mid-segment homes driving demand as premium markets stabilise, the report said | ...
The Chief Marketing Officer role is transforming. Artificial intelligence is now powering significant portions of daily ...
A research team developed a fully automated, drone-based phenotyping workflow that can measure key peanut canopy and ...
Turn photos into 3D with Meta's SAM 3D, using SAM 2 masks and Gaussian splatting, so you can build assets quickly for ...
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Labro secures $1.5M to automate & streamline laboratory workflows
Biotech startup Labro Inc. has raised $1.5 million in seed funding to accelerate pilot deployments of its flagship automated ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
We tend to break things down into smaller components to make remembering easier. Event Segmentation Theory explains how we do ...
A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.
Microscopy plays a pivotal role in modern biomedical research, enabling the visualization of fine structures in complex ...
A research team has developed a binocular multispectral stereo imaging (BMSI) system capable of capturing synchronized three-dimensional (3D) plant morphology and multispectral reflectance information ...
Abstract: In this paper, we present UISE, a unified image segmentation framework that achieves efficient performance across various segmentation tasks, eliminating the need for multiple specialized ...
Abstract: Automatic medical image segmentation is a crucial topic in the medical domain and successively a critical counterpart in the computer-aided diagnosis paradigm. U-Net is the most widespread ...
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