ChemPix: automated recognition of hand-drawn hydrocarbon structures using deep learning
Author:
Affiliation:
1. Department of Chemistry
2. Stanford University
3. USA
4. SLAC National Accelerator Laboratory
5. Menlo Park
6. Department of Electrical Engineering
Abstract
Offline recognition of hand-drawn hydrocarbon structures is learned using an image-to-SMILES neural network through the application of synthetic data generation and ensemble learning.
Funder
Office of Naval Research
Publisher
Royal Society of Chemistry (RSC)
Subject
General Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2021/SC/D1SC02957F
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