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description: A system for automatically extracting data points from Kaplan-Meier graphs (survival curves) combines instance segmentation models, classical computer vision...
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# Where Are My Tomatoes? Extracting Data from Graph Images with AI - Silas Eichsteller

**[NDC Conferences](https://daily.dev/sources/ndc)** · 11 min read · 0 upvotes · 0 comments

## Summary

A system for automatically extracting data points from Kaplan-Meier graphs (survival curves) combines instance segmentation models, classical computer vision techniques, and LLMs. The approach uses fine-tuned vision transformers to isolate individual plot lines despite occlusions and crossings, morphological operations and skeletonization to identify event points at pixel level, and multimodal LLMs to extract metadata like axis units and legends. This enables mapping pixel coordinates to actual graph values, particularly useful for pharmaceutical research papers that publish graphs without underlying data.

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#llm](https://daily.dev/tags/llm), [#computer-vision](https://daily.dev/tags/computer-vision), [#image-processing](https://daily.dev/tags/image-processing)

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