{"id":"W2083660024","doi":"10.2200/s00325ed1v01y201012bme039","title":"Modeling and Analysis of Shape with Applications in Computer-Aided Diagnosis of Breast Cancer","year":2011,"lang":"en","type":"article","venue":"Synthesis lectures on biomedical engineering","topic":"AI in cancer detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Research Services, University of Calgary; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Fondation pour la Recherche Médicale; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Alberta Heritage Foundation for Medical Research; Universidade Federal de Uberlândia; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Computer science; Artificial intelligence; Mammography; Segmentation; Observer (physics); Computer vision; Pattern recognition (psychology); Artifact (error); Shape analysis (program analysis); Noise (video); Active contour model; Breast cancer; Image segmentation; Image (mathematics); Cancer; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005136614,0.0004574026,0.0005795051,0.000648757,0.0002206806,0.0009147583,0.0006578941,0.0009185734,0.001951733],"category_scores_gemma":[0.00148102,0.0004931636,0.001039926,0.0007870105,0.0005305434,0.0005525982,0.0004752032,0.0006672515,0.0006795427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004576552,"about_ca_system_score_gemma":0.0004961762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002415731,"about_ca_topic_score_gemma":0.00212957,"domain_scores_codex":[0.9997993,0.00003788846,0.00001056274,0.00003208228,0.0001006937,0.00001939447],"domain_scores_gemma":[0.9994906,0.0002688506,0.0000433641,0.00006015567,0.0001154993,0.00002149003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006479228,0.00004440027,0.001177694,0.00014756,0.00003114774,0.0001366378,0.0001216179,0.7147641,0.03798933,0.01838694,0.002171259,0.2249646],"study_design_scores_gemma":[0.000001889448,0.00002565825,0.0005371645,0.000009962736,0.000008024415,0.0000979727,0.00001506644,0.9835655,0.005552779,0.007285364,0.002890883,0.00000974655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01746432,0.001218415,0.9781743,0.0003468177,0.00009173212,0.00001705349,0.00007464785,0.0003466222,0.002266062],"genre_scores_gemma":[0.5769472,0.004841583,0.402012,0.0001931198,0.0001955407,0.00007546059,0.0003443103,0.0002491419,0.01514167],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002415731,"threshold_uncertainty_score":0.006529152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135205900808972,"score_gpt":0.2153129973328208,"score_spread":0.2039609383247311,"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."}}