{"id":"W2043778571","doi":"10.1109/usnc-ursi.2013.6715514","title":"A source wavelet deconvolution approach to improve the spatial resolution for radar-based breast imaging system","year":2013,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Deconvolution; Wavelet; Computer science; Image resolution; Microwave imaging; Radar imaging; Iterative reconstruction; Computer vision; Radar; Breast imaging; Artificial intelligence; Algorithm; Mammography; Microwave; Telecommunications","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":[0.0007924833,0.0009655231,0.000514167,0.0007783181,0.0003643913,0.0006748044,0.0007191947,0.0008005907,0.002812987],"category_scores_gemma":[0.001364398,0.0003657837,0.0008399725,0.0007819649,0.0003937623,0.001494856,0.001294334,0.001209917,0.001688199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004186328,"about_ca_system_score_gemma":0.0006224716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007332908,"about_ca_topic_score_gemma":0.0008340608,"domain_scores_codex":[0.9995674,0.00007047322,0.00002757819,0.00008894142,0.0002103609,0.00003526208],"domain_scores_gemma":[0.9995221,0.0001088977,0.00004950154,0.0000829667,0.0002116949,0.00002487912],"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":[0.0004223362,0.0002193968,0.001322453,0.0003406743,0.0001343268,0.0003923839,0.0003639409,0.06614212,0.3610244,0.0402314,0.003959944,0.5254467],"study_design_scores_gemma":[0.00002605053,0.000195431,0.0007113691,0.00003670212,0.00007486811,0.0007914492,0.00006769423,0.8159708,0.1573061,0.009174996,0.01557828,0.00006630721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004791649,0.0002031485,0.9935343,0.00007512303,0.00002602804,0.00001669557,0.00002444201,0.000276735,0.001051873],"genre_scores_gemma":[0.07632485,0.0005946964,0.9191803,0.0001282977,0.00005278196,0.00005328123,0.0001867126,0.000192907,0.003286153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002812987,"threshold_uncertainty_score":0.009410381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004632479560098371,"score_gpt":0.1735410136854468,"score_spread":0.1689085341253484,"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."}}