{"doi":"10.1364/boe.434775","title":"Connectivity-based deep learning approach for segmentation of the epithelium in in vivo human esophageal OCT images","abstract":"Optical coherence tomography (OCT) is used for diagnosis of esophageal diseases such as Barrett’s esophagus. Given the large volume of OCT data acquired, automated analysis is needed. Here we propose a bilateral connectivity-based neural network for in vivo human esophageal OCT layer segmentation. Our method, connectivity-based CE-Net (Bicon-CE), defines layer segmentation as a combination of pixel connectivity modeling and pixel-wise tissue classification. Bicon-CE outperformed other widely used neural networks and reduced common topological prediction issues in tissues from healthy patients and from patients with Barrett’s esophagus. This is the first end-to-end learning method developed for automatic segmentation of the epithelium in in vivo human esophageal OCT images.","journal":"Biomedical Optics Express","year":2021,"id":172801,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":25,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9571,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":648390,"name":"Somayyeh Soltanian-Zadeh","orcid":"0000-0003-2726-8501","position":1,"is_corresponding":false},{"id":505921,"name":"Kengyeh K. Chu","orcid":null,"position":2,"is_corresponding":false},{"id":709241,"name":"Haoran Zhang","orcid":"0000-0002-7596-9532","position":3,"is_corresponding":false},{"id":709661,"name":"Lama Moussa","orcid":null,"position":4,"is_corresponding":false},{"id":709662,"name":"Ariel E. Watts","orcid":null,"position":5,"is_corresponding":false},{"id":365133,"name":"Nicholas J. Shaheen","orcid":"0000-0001-6602-5647","position":6,"is_corresponding":false},{"id":505338,"name":"Adam Wax","orcid":"0000-0002-1827-5112","position":7,"is_corresponding":false},{"id":418176,"name":"Sina Farsiu","orcid":"0000-0003-4872-2902","position":8,"is_corresponding":false},{"id":505337,"name":"Ziyun Yang","orcid":"0000-0003-4164-3558","position":0,"is_corresponding":true}],"reference_count":37,"raw_metadata":null,"created_at":"2026-07-18T23:46:41.424716Z","pmid":"34745740","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}