{"id":"W4408634392","doi":"10.1016/j.media.2025.103547","title":"Medical SAM adapter: Adapting segment anything model for medical image segmentation","year":2025,"lang":"en","type":"article","venue":"Medical Image Analysis","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":334,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Ministry of Education - Singapore; Ministry of Education; National University of Singapore","keywords":"Artificial intelligence; Computer vision; Segmentation; Computer science; Adapter (computing); Image segmentation; 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":[0.000866733,0.001086505,0.0005808633,0.0007060361,0.0002631126,0.001073098,0.001820152,0.001564153,0.007368224],"category_scores_gemma":[0.003096613,0.0005739013,0.001188098,0.0005236192,0.0004214031,0.001391025,0.0018134,0.001170695,0.002531358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004044263,"about_ca_system_score_gemma":0.00056655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706702,"about_ca_topic_score_gemma":0.002475326,"domain_scores_codex":[0.9996392,0.00006512571,0.00002897216,0.0001373808,0.00009311672,0.00003636002],"domain_scores_gemma":[0.9994701,0.0001957759,0.00003559953,0.0001703601,0.00007949257,0.00004873908],"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":[0.001301414,0.0002509501,0.003822048,0.0006448925,0.0002505142,0.0007432549,0.0006090323,0.08694043,0.1136755,0.008260483,0.03968874,0.7438127],"study_design_scores_gemma":[0.00009064732,0.0002702208,0.001815081,0.00004763454,0.00006457928,0.0007569401,0.0001539236,0.893561,0.06213989,0.01007492,0.03093578,0.00008940296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01563159,0.000315247,0.9184358,0.000268908,0.0001554393,0.0001767729,0.0006118984,0.06249982,0.001904658],"genre_scores_gemma":[0.2506267,0.0006155163,0.730455,0.001066114,0.0001221794,0.000389286,0.003654997,0.00726778,0.005802566],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007368224,"threshold_uncertainty_score":0.0246492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469714968837245,"score_gpt":0.3352634477158427,"score_spread":0.3205662980274702,"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."}}