sam-cell-seg

To convert segmentation masks to polygons for cell images, this skill provides guidance on extracting vector polygon coordinates from raw segmentation masks output by SAM or MobileSAM models.

Yes, you can use MobileSAM to segment cells in microscopy images by integrating the deep learning segmentation model into your processing scripts to automatically identify and outline individual cells.

The best way to refine initial cell segmentation masks is to apply the mask refinement techniques provided by this skill, which cleans and processes raw SAM outputs into precise cell boundaries.

You can process CSV-based coordinate data for SAM image segmentation by integrating the coordinate inputs into your SAM-based image segmentation pipeline to guide the mask generation and polygon extraction process.

Yes, the SAM segmentation pipeline outputs vector polygon coordinates representing cell boundaries, which can be exported and directly used for further spatial analysis in GIS or CAD tools.