Deep learning has been widely used in medical image segmentation and other aspects. However, the performance of existing medical image segmentation models has been limited by the challenge of ...

Point cloud primitive instance segmentation is critical for understanding the geometric shapes of man-made objects. Existing learning-based methods mainly focus on learning high-dimensional feature ...

Computer vision desktop application for image classification and processing, built with Qt and OpenCV. Features include image segmentation, custom classification algorithms, and intelligent search ...

Self-supervised deep learning models can accurately perform 3D segmentation of cell nuclei in complex biological tissues, enabling scalable analysis in settings with limited or no ground truth ...