{"doi":"10.1016/j.xpro.2020.100240","title":"A behavioral training protocol using visual perceptual learning to improve a visual skill","abstract":"We describe a behavioral training protocol using visual perceptual learning (VPL) to improve visual detection skills in non-experts for subtle mammographic lesions indicative of breast cancer. This protocol can be adapted for the professional training of experts (radiologists) or to improve visual skills for other tasks, such as the detection of targets in photo or video surveillance. For complete details on the use and execution of this protocol, please refer to Frank et al. (2020a) . • Behavioral training using VPL induces long-lasting improvements of a visual skill • Training should be conducted using detailed feedback about response accuracy • Training can be conducted with minimal technical equipment • VPL protocol can be used for clinical or other professional training We describe a behavioral training protocol using visual perceptual learning (VPL) to improve visual detection skills in non-experts for subtle mammographic lesions indicative of breast cancer. This protocol can be adapted for the professional training of experts (radiologists) or to improve visual skills for other tasks, such as the detection of targets in photo or video surveillance.","journal":"STAR Protocols","year":2020,"id":114195,"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":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9626,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":483333,"name":"Andrea Qi","orcid":"0000-0003-2743-3730","position":1,"is_corresponding":false},{"id":483334,"name":"Daniela Ravasio","orcid":"0000-0003-0530-0638","position":2,"is_corresponding":false},{"id":403961,"name":"Yuka Sasaki","orcid":"0000-0002-0061-0250","position":3,"is_corresponding":false},{"id":483335,"name":"Eric L. Rosen","orcid":"0009-0003-5279-966X","position":4,"is_corresponding":false},{"id":403962,"name":"Takeo Watanabe","orcid":"0000-0002-4562-5376","position":5,"is_corresponding":false},{"id":403959,"name":"Sebastian Frank","orcid":"0000-0002-7028-8754","position":0,"is_corresponding":true}],"reference_count":37,"raw_metadata":null,"created_at":"2026-07-18T23:13:29.674622Z","pmid":"33409503","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":[]}