{"id":"W4416251989","doi":"10.1109/ijcnn64981.2025.11227847","title":"Masked strategies for images with small objects","year":2025,"lang":"","type":"article","venue":"","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"NSCAD University; Dalhousie University","funders":"","keywords":"Segmentation; Pattern recognition (psychology); Encoder; Residual; Transformer; Image segmentation; Context (archaeology); Context model","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":[0.0004177542,0.0009121074,0.0003705754,0.000439635,0.0002542667,0.0007856438,0.0007838431,0.0006557429,0.007597984],"category_scores_gemma":[0.002026667,0.0003646844,0.000535302,0.0002404791,0.0005345749,0.001454008,0.001058664,0.0009320137,0.001313677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004404165,"about_ca_system_score_gemma":0.0005648532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001435698,"about_ca_topic_score_gemma":0.002351847,"domain_scores_codex":[0.9998406,0.00001990461,0.0000109609,0.00005452465,0.00004782067,0.00002613588],"domain_scores_gemma":[0.9996313,0.0001292413,0.00004498632,0.0001136068,0.0000556578,0.00002512673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000793142,0.000234671,0.001331854,0.0005274272,0.0001346302,0.0005967993,0.0003955704,0.1054908,0.4598198,0.03734228,0.005184516,0.3881485],"study_design_scores_gemma":[0.00004962175,0.0004129548,0.001488206,0.0000591207,0.00008884383,0.0006491915,0.0001081489,0.6197381,0.3359766,0.02347778,0.01790834,0.00004304056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1226091,0.0007583256,0.8655617,0.0004419753,0.0002522494,0.0002203804,0.0003223479,0.003098236,0.006735743],"genre_scores_gemma":[0.4987402,0.0004475783,0.4925892,0.0005699175,0.00006523888,0.0001511178,0.0004379751,0.0007379386,0.006260789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007597984,"threshold_uncertainty_score":0.0254178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661160660749654,"score_gpt":0.2517810296238237,"score_spread":0.2351694230163272,"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."}}