{"id":"W2792722532","doi":"10.1117/12.2292925","title":"Automated registration and stitching of multiple 3D ultrasound images for monitoring neonatal intraventricular hemorrhage","year":2018,"lang":"en","type":"article","venue":"","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Image stitching; Intraventricular hemorrhage; Artificial intelligence; Ultrasound; Image registration; Computer science; Medicine; Computer vision; Radiology; 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":[0.0009755261,0.0005467466,0.0005555774,0.001737841,0.0002290531,0.0007563099,0.0006135707,0.0006675998,0.0009386856],"category_scores_gemma":[0.003532267,0.0004553333,0.000576567,0.0009635937,0.0002855661,0.0004853973,0.000511585,0.0004840555,0.0004725464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003017926,"about_ca_system_score_gemma":0.0006152789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476207,"about_ca_topic_score_gemma":0.002561961,"domain_scores_codex":[0.9990558,0.0002765783,0.00008371865,0.0001650362,0.0003698758,0.00004898172],"domain_scores_gemma":[0.9987056,0.0005145258,0.000229488,0.0002607671,0.0002471395,0.00004232864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008877029,0.0002358586,0.01140629,0.0002666567,0.0002231172,0.0004998439,0.0003818253,0.04261383,0.4099277,0.0006551184,0.001328821,0.5315732],"study_design_scores_gemma":[0.00006309847,0.0007271125,0.04716866,0.00003870161,0.0001960308,0.002679046,0.0001938276,0.5623233,0.382086,0.0008021283,0.003577018,0.0001451141],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4995041,0.001082625,0.4927683,0.000174801,0.00008893912,0.0002646685,0.0003541472,0.004200363,0.001562],"genre_scores_gemma":[0.570195,0.0004833591,0.4278712,0.00006637719,0.00003803108,0.0001101743,0.0003250301,0.0003213932,0.0005894405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001737841,"threshold_uncertainty_score":0.00515908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322862262051324,"score_gpt":0.2880446784750373,"score_spread":0.2748160558545241,"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."}}