{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001421759,0.0001491357,0.0002658453,0.0001057472,0.00003912668,0.00001106679,0.0001764518,0.00006134182,0.0000453144],"category_scores_gemma":[0.0001283609,0.0001615228,0.00009614852,0.0003742815,0.00006935987,0.0001620945,0.0000203382,0.00008648266,9.627735e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006949177,"about_ca_system_score_gemma":0.00001519834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005769748,"about_ca_topic_score_gemma":0.00002687213,"domain_scores_codex":[0.9988992,0.0000214443,0.0005083163,0.0002589338,0.0001155452,0.0001966162],"domain_scores_gemma":[0.9992412,0.0002225256,0.000131282,0.0001952607,0.0001577371,0.00005204217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001054509,0.00005951523,0.00004701662,0.0005800371,0.000004195358,1.219404e-7,0.0004524464,0.3614431,0.6236224,0.00003614932,0.00005106285,0.01359843],"study_design_scores_gemma":[0.00008581718,0.00005087244,0.00007551054,0.00004270992,0.000007222153,7.225181e-7,0.0003293966,0.5112492,0.4879101,0.0001504893,0.00001901565,0.00007886295],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03734078,0.00005026218,0.9605709,0.00006157508,0.00004712443,0.001324243,0.0002887835,0.0001058864,0.0002104262],"genre_scores_gemma":[0.8870498,0.00005930668,0.1124222,0.00001798639,0.00003530482,0.0003315544,0.00003658935,0.00003159069,0.0000156293],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.849709,"threshold_uncertainty_score":0.6586708,"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."}}