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 ...

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

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.

Turn photos into 3D with Meta's SAM 3D, using SAM 2 masks and Gaussian splatting, so you can build assets quickly for ...

A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected ...