Optical-Chemical-Structure-Recognition

GTR-CoT uses graph traversal chain-of-thought reasoning to improve optical chemical structure recognition....

MolRec achieves 95%+ accuracy on simple structures but struggles with complex diagrams, revealing rule-based OCSR …...

MolRec achieves 95% accuracy on 1000 molecular diagrams at TREC 2011 with detailed failure analysis....

SubGrapher creates molecular fingerprints from images via functional group segmentation, enabling retrieval without full …...

αExtractor uses ResNet-Transformer to extract chemical structures from literature images, including noisy and hand-drawn …...

Fujiyoshi et al.'s segment-based approach for recognizing chemical structures in challenging Japanese patent images with …...

Clevert et al.'s two-stage CNN approach for converting molecular images to SMILES using CDDD embeddings and extensive …...

Chen et al.'s dual-stream encoder approach for robust molecular structure recognition from diverse real-world images …...

Filippov & Nicklaus's open-source rule-based system for converting molecular structure images into machine-readable …...

MolParser converts molecular images from scientific documents to machine-readable formats using E-SMILES....

Campos & Ji's method for converting 2D molecular images to SMILES strings using Transformers and SELFIES representation....