{"id":"W3093924407","doi":"10.1109/mlsp49062.2020.9231871","title":"Lumen &amp; Media Segmentation of IVUS Images via Ellipse Fitting Using a Wavelet-Decomposed Subband CNN","year":2020,"lang":"en","type":"article","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Jaccard index; Convolutional neural network; Computer science; Segmentation; Artificial intelligence; Hausdorff distance; Lumen (anatomy); Pattern recognition (psychology); Intravascular ultrasound; Computer vision; Radiology","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":[0.0006785631,0.0009856921,0.0006122753,0.001361259,0.0002889051,0.001080155,0.0009863916,0.001078212,0.001234923],"category_scores_gemma":[0.00134801,0.0005144773,0.0007151166,0.0006307698,0.0003403013,0.00089455,0.0009925838,0.0006853724,0.001053607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005874357,"about_ca_system_score_gemma":0.0008130911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004010857,"about_ca_topic_score_gemma":0.005449146,"domain_scores_codex":[0.9996953,0.00003423048,0.00001767716,0.000105764,0.0000884715,0.00005869119],"domain_scores_gemma":[0.9997061,0.00006284055,0.00006072626,0.00005514743,0.0000831358,0.00003196453],"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":[0.00052349,0.00020166,0.008711268,0.0001735306,0.0001447803,0.0004829865,0.0001856107,0.1211789,0.1284764,0.003586252,0.008765474,0.7275696],"study_design_scores_gemma":[0.000009291393,0.00005072104,0.001727827,0.00002125673,0.00003180659,0.0002021427,0.00002318295,0.9631224,0.03083521,0.001109642,0.00285079,0.00001588325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09673292,0.0007835669,0.892566,0.0004260749,0.00008851968,0.0001301686,0.0004936134,0.005294439,0.003484624],"genre_scores_gemma":[0.4636509,0.000795745,0.5252253,0.0004297113,0.0001078233,0.0001416937,0.001840964,0.0005226049,0.007285246],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004010857,"threshold_uncertainty_score":0.007975042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02490645304757431,"score_gpt":0.2292005078715274,"score_spread":0.2042940548239531,"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."}}