{"id":"W4405873576","doi":"10.1515/bmt-2024-0396","title":"<i>MedShapeNet</i> – a large-scale dataset of 3D medical shapes for computer vision","year":2024,"lang":"en","type":"article","venue":"Biomedizinische Technik/Biomedical Engineering","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Foothills Medical Centre; École de Technologie Supérieure; University of Calgary; Vector Institute; University of Toronto; University Health Network","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; Otto von Guericke University Magdeburg; Leibniz-Gemeinschaft; Perelman School of Medicine, University of Pennsylvania; Technische Universität Dortmund; Harokopio University; Universidade do Minho; Università di Pisa; Universitair Medisch Centrum Groningen; RWTH Aachen University; National and Kapodistrian University of Athens; Medizinischen Hochschule Hannover; Université de Bourgogne; Deutsches Krebsforschungszentrum; Centre National de la Recherche Scientifique; University of Pennsylvania; Universiteit Gent; Deutschen Konsortium für Translationale Krebsforschung; Vrije Universiteit Brussel; Nvidia; Radboud Universitair Medisch Centrum; KU Leuven; Radboud Universiteit; Austrian Science Fund; Universität Duisburg-Essen; Stryker; National Natural Science Foundation of China; European Regional Development Fund; Bundesministerium für Bildung und Forschung; Technische Universität Braunschweig; Universitätsklinikum Essen; University of Bern; Rijksuniversiteit Groningen; Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen; TU Graz, Internationale Beziehungen und Mobilitätsprogramme","keywords":"Scale (ratio); Artificial intelligence; Computer science; Computer vision; Computer graphics (images); Pattern recognition (psychology); Cartography; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001989077,0.004476524,0.001826792,0.004096016,0.0008393955,0.002826033,0.005065025,0.004396142,0.01774219],"category_scores_gemma":[0.00817196,0.001308608,0.003193853,0.00370679,0.001428626,0.001864775,0.004798873,0.002820783,0.02486413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001939099,"about_ca_system_score_gemma":0.002113252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009800678,"about_ca_topic_score_gemma":0.02137193,"domain_scores_codex":[0.9979735,0.0003295013,0.0002110076,0.0005926235,0.0007190652,0.00017429],"domain_scores_gemma":[0.9977266,0.0006085103,0.0001743616,0.0007964543,0.0003992805,0.0002948077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004907788,0.0002210558,0.006022547,0.002427314,0.0003155204,0.000856337,0.0001763002,0.02383228,0.005006539,0.003041165,0.8530006,0.1046095],"study_design_scores_gemma":[0.0005971671,0.000549509,0.01586602,0.001013857,0.0001991251,0.00563971,0.000329549,0.1230111,0.01744589,0.01483618,0.8200942,0.0004176662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02870581,0.006501853,0.05382899,0.003226523,0.001615045,0.001145925,0.8101119,0.0811734,0.0136906],"genre_scores_gemma":[0.03213294,0.001154569,0.03553738,0.001048654,0.0001227201,0.0007397643,0.9238418,0.002701049,0.002721172],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01774219,"threshold_uncertainty_score":0.05935353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006521123734136209,"score_gpt":0.2577179367065606,"score_spread":0.2511968129724244,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}