{"id":"W4298009622","doi":"10.18280/ts.390433","title":"Cuckoo Search Constrained Gamma Masking for MRI Image Detail Enhancement","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cuckoo search; Masking (illustration); Computer science; Cuckoo; Wavelet; Image enhancement; Artificial intelligence; Algorithm; Contrast (vision); Contrast enhancement; Pattern recognition (psychology); Image (mathematics); Magnetic resonance imaging","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":[0.0003013013,0.0004660928,0.0003837744,0.0003911423,0.0002837056,0.0002996109,0.0004095921,0.000478611,0.0008876096],"category_scores_gemma":[0.0008656296,0.0001857355,0.000297804,0.0003720289,0.0004047196,0.0003775843,0.0003073059,0.0003022239,0.0001428101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004836312,"about_ca_system_score_gemma":0.0004929129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929557,"about_ca_topic_score_gemma":0.002018053,"domain_scores_codex":[0.9998848,0.00003026781,0.000004733115,0.0000165812,0.00005260281,0.00001091888],"domain_scores_gemma":[0.9997732,0.0001165398,0.0000383505,0.00001726558,0.00004156552,0.00001298453],"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":[0.0002130172,0.00005304664,0.000785473,0.000249785,0.00005376712,0.0001852283,0.0001460132,0.7303876,0.1541528,0.01771001,0.0007940414,0.09526918],"study_design_scores_gemma":[0.000009060371,0.00005915173,0.0002557056,0.000008876404,0.00001001053,0.00006208331,0.00000755538,0.9854587,0.01156948,0.001652928,0.0008959303,0.00001050655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1027953,0.001194246,0.8910644,0.000159877,0.00004847387,0.00007197947,0.00002040552,0.0003431434,0.004302126],"genre_scores_gemma":[0.7889614,0.0005309734,0.2072184,0.00008051914,0.00001683609,0.00007159335,0.000031658,0.00007216973,0.003016561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001929557,"threshold_uncertainty_score":0.003836691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856199828693478,"score_gpt":0.263309734205977,"score_spread":0.2447477359190423,"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."}}