---
title: Semantic Segmentation with Polygons for Medical Image Analysis
type: templates
hide_menu: true
category: Computer Vision
cat: computer-vision
order: 1103
meta_description: Template for using Label Studio to perform semantic segmentation with polygons.
---
Semantic segmentation with polygons in medical image analysis is essential for accurately identifying and delineating anatomical structures in complex images, such as tumors or organs, which directly impacts diagnostics and treatment planning. The AI model harnesses this data to automate the interpretation of medical images, enhancing both clinician efficiency and accuracy in patient care.
However, this process is often hampered by challenges such as time-intensive manual labeling, inconsistency across different annotators, and the necessity for specialized domain expertise. Label Studio tackles these obstacles through its AI-assisted pre-labeling capabilities, which significantly reduce the initial workload for teams by providing bounding boxes and suggested segmentation based on existing data. Combined with expert validation workflows, collaboration tools for annotator feedback, and highly customizable templates tailored for medical imaging, Label Studio ensures high quality and consistent labeled data, ultimately leading to improved model performance, reduced labeling time, and scalable workflows that adapt to the unique demands of the medical field.
Open in Label Studio
## Labeling configuration
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This configuration allows annotators to select a tissue type and accurately delineate its boundaries directly on the medical image, enabling precise semantic segmentation of different anatomical and pathological regions.
All labeling configurations must be wrapped in View tags.
You can add a header to provide instructions to the annotator:
```xml
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Use the Image object tag to specify the medical imaging data and allow annotators to zoom the image:
```xml
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Use the PolygonLabels control tag to allow annotators to delineate polygonal regions corresponding to specific tissue types or pathological areas.
```xml
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Annotators can control the opacity of the polygons using the opacity argument, and the styling of the polygon tool using the pointSize and strokeWidth arguments. Use the background argument with the Label control tag to assign distinct colors for each tissue or pathology label.