{"id":"W1557471985","doi":"","title":"Multiple Sclerosis Lesions Segmentation using Spectral Gradient and Graph Cuts","year":2008,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Segmentation; Artificial intelligence; Graph; Computer science; Pattern recognition (psychology); Image segmentation; Market segmentation; Theoretical computer science","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":[0.0007585779,0.0006969981,0.0008667203,0.002743586,0.0003238163,0.001226558,0.0005466648,0.001355433,0.001570189],"category_scores_gemma":[0.001647367,0.0005592273,0.0007603927,0.001263623,0.0005615783,0.0008669325,0.0005077479,0.0005980266,0.0006795725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004471455,"about_ca_system_score_gemma":0.0008370003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002899945,"about_ca_topic_score_gemma":0.00375219,"domain_scores_codex":[0.9995505,0.0001009854,0.00002523088,0.00008294296,0.0001973491,0.00004299365],"domain_scores_gemma":[0.999401,0.0002648321,0.00005632787,0.00005147566,0.0001805084,0.00004585322],"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":[0.001082549,0.0001701963,0.002188999,0.0005106663,0.0002173451,0.0003497242,0.0001820302,0.09964333,0.1898218,0.006349493,0.004270227,0.6952136],"study_design_scores_gemma":[0.00004656792,0.0001111386,0.003764286,0.00003321236,0.00008132921,0.0007038756,0.00008903121,0.9257942,0.05769701,0.00816076,0.003481929,0.00003659902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05330164,0.0007568422,0.9421157,0.0003674156,0.00006706567,0.0001092175,0.0001509781,0.001489813,0.001641287],"genre_scores_gemma":[0.258603,0.0006693662,0.7373134,0.0001082097,0.00007664791,0.00007458018,0.0002812249,0.0003326114,0.002540928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002899945,"threshold_uncertainty_score":0.005766153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04096732039371249,"score_gpt":0.245849297138442,"score_spread":0.2048819767447295,"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."}}