SAM segments objects in images and videos, even audio can be separated by prompt: The AI model is freely available.
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
Identifying and delineating cell structures in microscopy images is crucial for understanding the complex processes of life. This task is called "segmentation" and it enables a range of applications, ...
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 ...
Artificial intelligence tools in neuro-oncology demonstrate robust performance in detecting brain metastases and predicting clinical outcomes.
Turn photos into 3D with Meta's SAM 3D, using SAM 2 masks and Gaussian splatting, so you can build assets quickly for ...
When it comes to market segmentation, I don’t see truly well-documented cases often. At a more simplistic level, we think of classic matrices such as BCG or McKinsey’s. But the real exercise of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback