Towards a general-purpose foundation model for computational pathology
Quantitative evaluation of tissue images is crucial for computational pathology (CPath) tasks,
requiring the objective characterization of histopathological entities from whole-slide images …
requiring the objective characterization of histopathological entities from whole-slide images …
[HTML][HTML] Segment anything for microscopy
Accurate segmentation of objects in microscopy images remains a bottleneck for many
researchers despite the number of tools developed for this purpose. Here, we present …
researchers despite the number of tools developed for this purpose. Here, we present …
A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities
Biomedical image analysis is fundamental for biomedical discovery. Holistic image analysis
comprises interdependent subtasks such as segmentation, detection and recognition, which …
comprises interdependent subtasks such as segmentation, detection and recognition, which …
Segment anything, from space?
Recently, the first foundation model developed specifically for image segmentation tasks
was developed, termed the" Segment Anything Model"(SAM). SAM can segment objects in …
was developed, termed the" Segment Anything Model"(SAM). SAM can segment objects in …
Foundation models for biomedical image segmentation: A survey
A foundation model for cell segmentation
Cells are a fundamental unit of biological organization, and identifying them in imaging data–
cell segmentation–is a critical task for various cellular imaging experiments. While deep …
cell segmentation–is a critical task for various cellular imaging experiments. While deep …