{"doi":"10.1101/2022.10.05.22280672","title":"Large-scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites: Interobserver expert/non-expert and multi-observer composite tumor and normal tissue delineation annotations from a prospective educational challenge","abstract":"Abstract Clinician generated segmentation of tumor and healthy tissue regions of interest (ROIs) on medical images is crucial for radiotherapy. However, interobserver segmentation variability has long been considered a significant detriment to the implementation of high-quality and consistent radiotherapy dose delivery. This has prompted the increasing development of automated segmentation approaches. However, extant segmentation datasets typically only provide segmentations generated by a limited number of annotators with varying, and often unspecified, levels of expertise. In this data descriptor, numerous clinician annotators manually generated segmentations for ROIs on computed tomography images across a variety of cancer sites (breast, sarcoma, head and neck, gynecologic, gastrointestinal; one patient per cancer site) for the Contouring Collaborative for Consensus in Radiation Oncology challenge. In total, over 200 annotators (experts and non-experts) contributed using a standardized annotation platform (ProKnow). Subsequently, we converted data into NIfTI format with standardized nomenclature for ease of use. In addition, we generated consensus segmentations for experts and non-experts using the STAPLE method. These standardized, structured, and easily accessible data are a valuable resource for systematically studying variability in segmentation applications.","journal":"medRxiv","year":2022,"id":312185,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8976,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":890779,"name":"Diana Lin","orcid":"0000-0002-1173-0725","position":1,"is_corresponding":false},{"id":920684,"name":"Onur Sahin","orcid":"0000-0003-2191-5659","position":2,"is_corresponding":false},{"id":990955,"name":"Michael Cislo","orcid":"0000-0002-5880-2802","position":3,"is_corresponding":false},{"id":991464,"name":"Benjamin E. Nelms","orcid":null,"position":4,"is_corresponding":false},{"id":426705,"name":"Renjie He","orcid":"0000-0001-9166-6286","position":5,"is_corresponding":false},{"id":653657,"name":"Mohamed A. Naser","orcid":"0000-0003-1020-4966","position":6,"is_corresponding":false},{"id":991465,"name":"Simon Duke","orcid":null,"position":7,"is_corresponding":false},{"id":990954,"name":"Michael V. Sherer","orcid":"0000-0002-4439-7906","position":8,"is_corresponding":false},{"id":654779,"name":"John P. Christodouleas","orcid":"0000-0001-5061-2038","position":9,"is_corresponding":false},{"id":351182,"name":"Abdallah Mohamed","orcid":"0000-0003-2064-7613","position":10,"is_corresponding":false},{"id":990956,"name":"James D. Murphy","orcid":"0009-0008-1719-5111","position":11,"is_corresponding":false},{"id":295555,"name":"Clifton D. Fuller","orcid":"0000-0002-5264-3994","position":12,"is_corresponding":false},{"id":278264,"name":"Erin F. Gillespie","orcid":"0000-0002-1386-1542","position":13,"is_corresponding":false},{"id":519105,"name":"Kareem A. Wahid","orcid":"0000-0002-0503-0175","position":0,"is_corresponding":true}],"reference_count":51,"raw_metadata":null,"created_at":"2026-07-19T00:33:36.072096Z","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":[]}