{"id":"W2153687033","doi":"10.1109/ccece.2007.16","title":"Medical Image Conversion with DICOM","year":2007,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"DICOM; Computer science; Bitmap; Image file formats; Computer graphics (images); Digital imaging; Medical imaging; Software; Computer vision; Digital image; Image processing; Process (computing); Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002969012,0.00123351,0.001345164,0.007090961,0.001441357,0.003538619,0.001832661,0.00133346,0.06835221],"category_scores_gemma":[0.01236543,0.0008359282,0.001109757,0.007810281,0.000582732,0.002032734,0.002699774,0.002425923,0.0370572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007208253,"about_ca_system_score_gemma":0.001454561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001246185,"about_ca_topic_score_gemma":0.0008208077,"domain_scores_codex":[0.9968821,0.0004333806,0.0005967885,0.0003879064,0.001589419,0.0001103423],"domain_scores_gemma":[0.995123,0.0007675115,0.0002414345,0.001269256,0.002491097,0.0001078466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003860818,0.0001113243,0.0006972731,0.002468303,0.00012541,0.0006746022,0.0005593937,0.002566261,0.0203883,0.01741822,0.2919821,0.6626227],"study_design_scores_gemma":[0.00007216883,0.0001651795,0.00195668,0.0003319608,0.00008376794,0.003117691,0.0001420141,0.008864638,0.02186421,0.008257884,0.9549555,0.000188393],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006229213,0.006040059,0.8503772,0.001514745,0.004510878,0.003641436,0.01490309,0.03107652,0.08170678],"genre_scores_gemma":[0.02535622,0.005412129,0.9165856,0.001134043,0.000826267,0.002367938,0.01573454,0.004777045,0.02780609],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06835221,"threshold_uncertainty_score":0.2286609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006184106412177557,"score_gpt":0.2314146097323445,"score_spread":0.225230503320167,"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."}}