{"doi":"10.48550/arxiv.2308.02498","title":"Learning to Segment from Noisy Annotations: A Spatial Correction Approach","abstract":"Noisy labels can significantly affect the performance of deep neural networks (DNNs). In medical image segmentation tasks, annotations are error-prone due to the high demand in annotation time and in the annotators' expertise. Existing methods mostly assume noisy labels in different pixels are \\textit{i.i.d}. However, segmentation label noise usually has strong spatial correlation and has prominent bias in distribution. In this paper, we propose a novel Markov model for segmentation noisy annotations that encodes both spatial correlation and bias. Further, to mitigate such label noise, we propose a label correction method to recover true label progressively. We provide theoretical guarantees of the correctness of the proposed method. Experiments show that our approach outperforms current state-of-the-art methods on both synthetic and real-world noisy annotations.","journal":"arXiv (Cornell University)","year":2023,"id":394922,"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":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9525,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1095972,"name":"Yikai Zhang","orcid":"0000-0003-4924-7824","position":1,"is_corresponding":false},{"id":1170269,"name":"Songzhu Zheng","orcid":null,"position":2,"is_corresponding":false},{"id":1169744,"name":"Mayank Goswami","orcid":"0000-0001-8829-9980","position":3,"is_corresponding":false},{"id":264733,"name":"Prateek Prasanna","orcid":"0000-0002-3068-3573","position":4,"is_corresponding":false},{"id":1169745,"name":"Chao Chen","orcid":"0000-0003-1355-3870","position":5,"is_corresponding":false},{"id":1169743,"name":"Jiachen Yao","orcid":"0000-0002-1575-891X","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T01:19:18.686170Z","pmid":null,"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":[]}