Abstract: Skin lesions are difficult to segment because of their different shapes, sizes, colors, and textures. While Convolutional Neural Networks (CNNs) have proven effective at medical image ...

OpenWorldSAM pushes the boundaries of SAM2 by enabling open-vocabulary segmentation with flexible language prompts. [2026-1-4]: Demo release: we’ve added simple demos to run OpenWorldSAM on images ...

0.70.x - 0.74.x 1.0.x Old Architecture Fully Supported 0.75.x - 0.78.x 1.0.x Old & New Architecture Fully Supported Note: This library requires prebuild because it uses native iOS Vision Framework and ...

Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.