{"id":"W4401075207","doi":"10.1007/978-3-031-65392-6_14","title":"3D Segmentation and Subtypes Classification of Breast Cancer Using Ultrasound Images Through Hybrid Approach of CNN and LSTM","year":2024,"lang":"en","type":"book-chapter","venue":"Learning and analytics in intelligent systems","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Segmentation; Artificial intelligence; Computer science; Pattern recognition (psychology); Breast cancer; Breast ultrasound; Cancer; Medicine; Internal medicine; Mammography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000363664,0.0002016714,0.0003760763,0.0002714191,0.00006198403,0.0001420735,0.0001170161,0.0001272413,0.000003781739],"category_scores_gemma":[0.00001357454,0.0001944199,0.00003882392,0.000110812,0.0001643993,0.0001663804,0.00008370685,0.0003245819,6.908e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001430351,"about_ca_system_score_gemma":0.00004196966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005439021,"about_ca_topic_score_gemma":0.000009989792,"domain_scores_codex":[0.9986038,0.00004484843,0.0005026715,0.0004586008,0.000271299,0.0001187898],"domain_scores_gemma":[0.9990597,0.0001289048,0.0004826575,0.0001667866,0.0001283962,0.0000335353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000226152,0.0002298143,0.09040855,0.03704317,0.002924126,0.00004699766,0.02644919,0.1885957,0.03823468,0.4002715,0.0002951045,0.215275],"study_design_scores_gemma":[0.0002330349,0.0001561893,0.0007950049,0.004492898,0.000354859,0.0003382269,0.001523337,0.9805426,0.002835347,0.005482407,0.002599998,0.0006461099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01942766,0.03323183,0.9203445,0.00007405598,0.001090359,0.0007292004,0.0001002432,0.0001056673,0.02489648],"genre_scores_gemma":[0.9757868,0.009564812,0.002670391,0.000004585866,0.0001256487,0.000008148098,0.00001402887,0.00003606822,0.01178954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9563591,"threshold_uncertainty_score":0.7928215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03972345663988835,"score_gpt":0.2941745401887532,"score_spread":0.2544510835488649,"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."}}