ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning-Reference-Cited by-同舟云学术

ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning

Published:2020-09-14 Issue:10 Volume:60 Page:4506-4517
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Oldenhof Martijn¹^ORCID,Arany Adam¹,Moreau Yves¹,Simm Jaak¹

Affiliation:

1. Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Kasteelpark Arenberg 10, Leuven 3001, Belgium

Funder

Innovative Medicines Initiative

Vlaamse regering

Onderzoeksraad, KU Leuven

Agentschap voor Innovatie door Wetenschap en Technologie

Central Europe Leuven Strategic Alliance

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.0c00459

Reference39 articles.

1. Optical Structure Recognition Software To Recover Chemical Information: OSRA, An Open Source Solution

2. SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules

3. Description of several chemical structure file formats used by computer programs developed at Molecular Design Limited

4. Automated extraction of chemical structure information from digital raster images

5. Kekule: OCR-optical chemical (structure) recognition

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