BiomedParse performs segmentation for organ, abnormality and cells, accurately following user's prompts. Without any image specific guidance like bounding box or points, BiomedParse outperforms state-of-the-art bounding box methods with text prompts only, across 9 biomedical imaging modalities.
BiomedParse detect the specific object of interest, and locate it at pixel-level precision, even for objects with irregular shapes. By effectively identifying text prompts describing objects that do not exist in the image, BiomedParse is capable of object detection in an end-to-end manner.
Tired of typing prompts for every objects? BiomedParse performs object recognition all at once. BiomedParse learned 82 objects types and automatically identifies all objects in a given image along with their semantic types, and simultaneously segment and label all biomedical objects of interests.