{"id":"W3094223337","doi":"10.18280/ria.340406","title":"A Complex Diffusion Based Modified Fuzzy C- Means Approach for Segmentation of Ultrasound Image in Presence of Speckle Noise for Breast Cancer Detection","year":2020,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Speckle noise; Speckle pattern; Ultrasound; Breast cancer; Artificial intelligence; Noise (video); Computer vision; Segmentation; Fuzzy logic; Computer science; Image segmentation; Diffusion; Pattern recognition (psychology); Image (mathematics); Cancer; Medicine; Radiology; Physics; Internal medicine","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":[0.0007743465,0.0006208743,0.0007026806,0.002057907,0.0006369484,0.0008522869,0.001253894,0.001543435,0.0007104672],"category_scores_gemma":[0.001597596,0.0003383126,0.001125017,0.001083902,0.0005885656,0.0008545267,0.0004475786,0.0009201062,0.0003036078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229344,"about_ca_system_score_gemma":0.001482931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01243244,"about_ca_topic_score_gemma":0.01377287,"domain_scores_codex":[0.9994312,0.00005816069,0.00003639387,0.0001607228,0.0002745971,0.00003888996],"domain_scores_gemma":[0.9995384,0.0001235106,0.00005367953,0.00003196496,0.0002354909,0.00001690689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001955888,0.0001153679,0.002441528,0.0004482131,0.0001707227,0.0002708951,0.0004641929,0.2272742,0.1269567,0.01315804,0.002997019,0.6255075],"study_design_scores_gemma":[0.00001061929,0.00007772078,0.001332027,0.00002890456,0.00003774747,0.000267811,0.00004474337,0.9711496,0.0202236,0.002748128,0.004023591,0.00005544324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008518135,0.0005591393,0.9896036,0.0001227259,0.00004380276,0.00004849864,0.00003401882,0.0003180741,0.0007519763],"genre_scores_gemma":[0.1173133,0.0006830231,0.8794783,0.0001120815,0.00005312504,0.0001256001,0.0001280944,0.00006456891,0.002041938],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01243244,"threshold_uncertainty_score":0.02472013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405421607404255,"score_gpt":0.2831334993811608,"score_spread":0.2425913386407353,"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."}}