{"id":"W4392200359","doi":"10.18280/isi.290109","title":"Swin Transformer and Attention Guided Thyroid Nodule Segmentation on Ultrasound Images","year":2024,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"AI in cancer detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Segmentation; Nodule (geology); Thyroid nodules; Computer vision; Transformer; Artificial intelligence; Ultrasound; Thyroid; Computer science; Radiology; Medicine; Biology; Internal medicine; Engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006053206,0.00109503,0.0006609594,0.001198977,0.000289477,0.0007153671,0.001066104,0.001259905,0.001521267],"category_scores_gemma":[0.001256878,0.0003384497,0.0009746448,0.0005683732,0.0004295468,0.0007022949,0.0006041258,0.0008942001,0.0006679244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063025,"about_ca_system_score_gemma":0.001037227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01789649,"about_ca_topic_score_gemma":0.02570038,"domain_scores_codex":[0.9997153,0.00003963745,0.00001541565,0.0001066765,0.00005739939,0.00006556998],"domain_scores_gemma":[0.9997094,0.0001068625,0.0000341952,0.00004139135,0.00008051519,0.00002750325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001202059,0.0004067864,0.009447948,0.0002119748,0.0001809849,0.0005584706,0.0001799506,0.2744086,0.06686131,0.002571121,0.008501669,0.6354691],"study_design_scores_gemma":[0.00001540691,0.0001043324,0.001553942,0.00001099217,0.00003674749,0.0001510053,0.00001793404,0.9799146,0.01640891,0.0009183922,0.0008564504,0.00001117717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4215045,0.002662557,0.5560596,0.001163744,0.0002773851,0.0003763443,0.001094537,0.008069297,0.008792129],"genre_scores_gemma":[0.8779505,0.0007210096,0.10827,0.0004397155,0.0000988869,0.00009285995,0.001959296,0.0002265727,0.0102411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01789649,"threshold_uncertainty_score":0.03558469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871583954113511,"score_gpt":0.2604885441197629,"score_spread":0.2417727045786278,"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."}}