Optical-Chemical-Structure-Recognition

Wang et al.'s novel VLM approach using graph traversal CoT and faithful recognition principles to improve optical …...

Sadawi et al.'s enhanced MolRec system achieving 95%+ accuracy on simple structures but struggling with complex …...

Sadawi et al.'s analysis of MolRec's performance on chemical structure recognition, achieving 95% accuracy on 1000 …...

Morin et al.'s method for creating molecular fingerprints directly from images using instance segmentation of functional …...

A micro-review of Optical Chemical Structure Recognition (OCSR), tracing its evolution from rule-based systems to …

Xiong et al.'s deep learning system for extracting chemical structures from literature images using ResNet-Transformer …...

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 …...

Fang et al.'s method for converting molecular structure images from scientific documents into machine-readable formats …...

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