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Chemical Machine Vision: Automated Extraction of Chemical Metadata from Raster Images

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf02626996openalex-snapshot
Text segmentation using gabor filters for automatic document processing
inferredcites →https://doi.org/10.1016/0031-3203(91)90143-sopenalex-snapshot
Unsupervised texture segmentation using Gabor filters
inferredcites →https://doi.org/10.1016/s1361-8415(96)80007-7openalex-snapshot
Deformable models in medical image analysis: a survey
inferredcites →https://doi.org/10.1021/ci00008a018openalex-snapshot
Kekule: OCR-optical chemical (structure) recognition
inferredcites →https://doi.org/10.1021/ci00013a010openalex-snapshot
Chemical literature data extraction: The CLiDE Project
inferredcites →https://doi.org/10.1021/ci9601022openalex-snapshot
Recent Advances in the CLiDE Project: Logical Layout Analysis of Chemical Documents
inferredcites →https://doi.org/10.1039/b009040iopenalex-snapshot
A robot-based resource discovery tool for adding chemical meta-information and value to web-based documents
inferredcites →https://doi.org/10.1109/34.244676openalex-snapshot
High confidence visual recognition of persons by a test of statistical independence
inferredcites →https://doi.org/10.1109/34.391387openalex-snapshot
Silhouette-based isolated object recognition through curvature scale space
inferredcites →https://doi.org/10.1109/34.566809openalex-snapshot
Thermophysical algebraic invariants from infrared imagery for object recognition
inferredcites →https://doi.org/10.1109/83.650850openalex-snapshot
An unsupervised texture segmentation algorithm with feature space reduction and knowledge feedback
inferredcites →https://doi.org/10.1109/mis.2004.1274900openalex-snapshot
IEEE Intelligent Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-81728-1_3openalex-snapshot
Role of Cheminformatics and Chemometrics in Drug design and Discovery
inferred← citeshttps://doi.org/10.1021/ci900029vopenalex-snapshot
Tunable Machine Vision-Based Strategy for Automated Annotation of Chemical Databases
inferred← citeshttps://doi.org/10.1039/c3cs60050eopenalex-snapshot
Chemical information matters: an e-Research perspective on information and data sharing in the chemical sciences
inferred← citeshttps://doi.org/10.1039/d1sc02957fopenalex-snapshot
ChemPix: automated recognition of hand-drawn hydrocarbon structures using deep learning
inferred← citeshttps://doi.org/10.1039/d4ra02442gopenalex-snapshot
MMSSC-Net: multi-stage sequence cognitive networks for drug molecule recognition
inferred← citeshttps://doi.org/10.1108/10650750310698784openalex-snapshot
XML for scientific publishing
inferred← citeshttps://doi.org/10.1146/annurev-chembioeng-100724-080433openalex-snapshot
Use of Machine Learning and Large Language Models in Chemical Information Extraction
inferred← citeshttps://doi.org/10.1146/annurev-physchem-061020-053438openalex-snapshot
Interactive Quantum Chemistry Enabled by Machine Learning, Graphical Processing Units, and Cloud Computing
inferred← citeshttps://doi.org/10.1186/1752-153x-3-4openalex-snapshot
Automated extraction of chemical structure information from digital raster images
inferred← citeshttps://doi.org/10.1186/s13321-016-0175-xopenalex-snapshot
ChemEngine: harvesting 3D chemical structures of supplementary data from PDF files
inferred← citeshttps://doi.org/10.1186/s13321-020-00465-0openalex-snapshot
A review of optical chemical structure recognition tools
inferred← citeshttps://doi.org/10.1186/s13321-022-00642-3openalex-snapshot
Review of techniques and models used in optical chemical structure recognition in images and scanned documents
inferred← citeshttps://doi.org/10.17615/1tdd-3k21openalex-snapshot
Methods in literature-based drug discovery
inferred← citeshttps://doi.org/10.19101/ijacr.2019.940105openalex-snapshot
An approach for extracting chemical data from molecular representations
inferred← citeshttps://doi.org/10.33774/chemrxiv-2021-jnpglopenalex-snapshot
MolAR: Bringing Chemical Structures to Life with Augmented Reality and Machine Learning
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