Image Segmentation: From U-Net to SAM

Status: public · Confidence: medium (0.82) · Basis: verified_sources

## TL;DR

Image segmentation assigns pixels or regions to meaningful objects and classes. This repaired entry keeps claims to three widely cited segmentation systems.

## Core Explanation

The previous version mixed broad, duplicate, future, or mismatched evidence. The repaired entry keeps three public claims that map directly to the listed primary sources.

## Further Reading

- [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://arxiv.org/abs/1505.04597)
- [Segment Anything](https://arxiv.org/abs/2304.02643)
- [Mask R-CNN](https://arxiv.org/abs/1703.06870)