{"id":"W2121396321","doi":"10.1109/icip.2000.899427","title":"Joint space-frequency segmentation, entropy coding and the compression of ultrasound images","year":2000,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Segmentation; Artificial intelligence; Data compression; Entropy (arrow of time); Algorithm; Entropy encoding; Image compression; Image segmentation; Pattern recognition (psychology); Coding (social sciences); Computer vision; Mathematics; Image processing; Image (mathematics); Statistics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005365064,0.0003884773,0.0003432377,0.0008782466,0.0002042304,0.0004439525,0.0002640525,0.0005340651,0.0007944132],"category_scores_gemma":[0.002635632,0.0001540975,0.0001957749,0.001008529,0.001001798,0.001058638,0.0005018215,0.0003938334,0.0001657547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234747,"about_ca_system_score_gemma":0.0002155758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006861727,"about_ca_topic_score_gemma":0.001141691,"domain_scores_codex":[0.9996175,0.0001045953,0.00001802403,0.0000303787,0.0002083234,0.00002122592],"domain_scores_gemma":[0.9990897,0.0006074823,0.00009326643,0.00009800289,0.00009514995,0.00001639164],"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":[0.0005676567,0.00006632557,0.001104024,0.0002711494,0.00005127218,0.0002547174,0.0002760684,0.2609813,0.1455081,0.06389918,0.001564344,0.5254557],"study_design_scores_gemma":[0.00002665675,0.0003309951,0.003859582,0.0000544343,0.000031233,0.001039424,0.00007753279,0.7986681,0.1492244,0.04082789,0.005800028,0.00005969563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07715196,0.002726591,0.9162159,0.0002274736,0.00006352132,0.00004066508,0.00005798888,0.0003428315,0.003173053],"genre_scores_gemma":[0.6390936,0.0022205,0.3547026,0.0001173902,0.000147551,0.00007048745,0.0001673784,0.0001132057,0.00336735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008782466,"threshold_uncertainty_score":0.0028373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123939972094893,"score_gpt":0.2564841020235766,"score_spread":0.2452447023026277,"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."}}