{"id":"W2533890394","doi":"10.1109/ideadh.2004.17","title":"Medical Image Retrieval and Registration: Towards Computer Assisted Diagnostic Approach","year":2005,"lang":"en","type":"article","venue":"","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Image registration; Computer vision; Image retrieval; Artificial intelligence; Medical imaging; Image resolution; Image processing; Digital image; Modalities; Information retrieval; Image (mathematics)","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":[0.0005581966,0.0001366678,0.0001568004,0.00006567581,0.0001094769,0.0002993387,0.0005799198,0.0001262518,0.0000952796],"category_scores_gemma":[0.0002995566,0.0001086676,0.00004639409,0.0003430292,0.0001538737,0.0006062129,0.0002164166,0.0001770627,0.00003958472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003852889,"about_ca_system_score_gemma":0.0001268297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008972482,"about_ca_topic_score_gemma":0.000001515891,"domain_scores_codex":[0.9983933,0.00007387032,0.0003017472,0.0004168749,0.0006115501,0.0002026378],"domain_scores_gemma":[0.9989982,0.000173241,0.00007679783,0.0004221217,0.0001336616,0.0001960088],"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":[0.00001754183,0.0003599445,0.0001330532,0.00004745893,0.00002320934,0.00003551666,0.0002668075,4.294974e-7,0.001237328,0.1241706,0.01320168,0.8605064],"study_design_scores_gemma":[0.001819844,0.000494605,0.078401,0.00008961645,0.0000328782,0.00133964,0.00005769987,0.7625959,0.08225028,0.003206206,0.06844328,0.001269087],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004787115,0.0001153531,0.966509,0.01181218,0.0000684689,0.0001542915,9.103984e-7,0.000539267,0.02032184],"genre_scores_gemma":[0.2503109,0.0001267012,0.7463852,0.001590855,0.0003459565,0.00001152011,0.000009304064,0.00000894197,0.001210618],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8592374,"threshold_uncertainty_score":0.4431335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937746567848876,"score_gpt":0.2676853516487747,"score_spread":0.248307885970286,"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."}}