# Evron 2025: Studying Illustrations in Manuscripts: An Efficient Deep-Learning Approach

> Yoav Evron, Michal Bar-Asher Siegal, Michael Fire, 2025. 1 records on Mysteries Department cite it. The emerging-methods survey lists it among tools for…

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[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Evron 2025

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# Studying Illustrations in Manuscripts: An Efficient Deep-Learning Approach

Yoav Evron, Michal Bar-Asher Siegal, Michael Fire, 2025. _arXiv_.

A deep-learning approach for finding and classifying illustrations in manuscripts with little labelled data.

**Voynich Manuscript** PreprintChecked against the original0

## What it's used for here

The emerging-methods survey lists it among tools for working with the manuscript's drawings.

## Cited by on this site 1 record

[1 methods surveys]

Mathematics

SRC

## Cite it

```
Evron, Y., Siegal, M. B. A., & Fire, M. (2025). Studying Illustrations in Manuscripts: An Efficient Deep-Learning Approach. arXiv. https://arxiv.org/abs/2601.05269
```

[Read it free at arxiv.org](https://arxiv.org/abs/2601.05269)[PDF stored here · 17 pages](https://mysteriesdept.com/sources/SRC0D8MQV7T5H2J/studying-illustrations-in-manuscripts-an-efficient-deep/pdf)

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