Comparing software tools for optical chemical structure recognition-Reference-Cited by-同舟云学术

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Comparing software tools for optical chemical structure recognition

Published:2024 Issue:4 Volume:3 Page:681-693
ISSN:2635-098X
Container-title:Digital Discovery
language:en
Short-container-title:Digital Discovery

Author:

Krasnov Aleksei¹,Barnabas Shadrack J.¹,Boehme Timo¹,Boyer Stephen K.²,Weber Lutz¹³^ORCID

Affiliation:

1. OntoChem GmbH, Blücherstrasse 24, 06120, Halle (Saale), Germany

2. Collabra Inc., San Jose, CA, 95120, USA

3. MolGenie GmbH, Felix-Dahn-Str. 4, 70597, Stuttgart, Germany

Abstract

The extraction of chemical information from images, also known as Optical Chemical Structure Recognition (OCSR) has recently gained new attention.

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/DD/D3DD00228D

Reference28 articles.

1. DECIMER: towards deep learning for chemical image recognition

2. MolScribe: Robust Molecular Structure Recognition with Image-to-Graph Generation

3. Y.Qian , J.Guo , Z.Tu , C. W.Coley and R.Barzilay , RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing , 2023 , arXiv:2305.11845v1, 10.48550/arXiv.2305.11845

4. DECIMER.ai: an open platform for automated optical chemical structure identification, segmentation and recognition in scientific publications

5. ReactionDataExtractor 2.0: A Deep Learning Approach for Data Extraction from Chemical Reaction Schemes

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