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 ...

Medical images are the standard approach for the analysis and diagnosis of critical issues of diseases. To minimize the time-consuming inspection and evaluation process of the medical images from ...

A Dynamic Benchmark for Image Understanding We have created a procedurally generatable, synthetic dataset for testing spatial reasoning, visual prompting, object recognition and detection.

Here, we developed a custom Python toolbox for direct-3D supervised and self-supervised cell segmentation built on state-of-the-art transformers and 3D CNN architectures (Xia and Kulis, 2017; ...