{"id":"W2943148339","doi":"10.5539/cis.v12n2p146","title":"Image Processing & Neural Network Based Breast Cancer Detection","year":2019,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Breast cancer; Artificial neural network; Mammography; Artificial intelligence; Image processing; Pattern recognition (psychology); Wavelet; Transformation (genetics); Cancer; Computer vision; Computer-aided diagnosis; Machine learning; Image (mathematics); Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003713446,0.0003611748,0.0003400826,0.000744583,0.000204108,0.0004639414,0.0005553579,0.0005077975,0.002537756],"category_scores_gemma":[0.0009592414,0.0001602367,0.0003055522,0.0006010331,0.0002183899,0.0004777461,0.0002397676,0.0003682762,0.0005593216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004582364,"about_ca_system_score_gemma":0.0003467873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004596847,"about_ca_topic_score_gemma":0.004413841,"domain_scores_codex":[0.9998047,0.0000258378,0.00001318089,0.00005062739,0.00007823881,0.0000274443],"domain_scores_gemma":[0.9997475,0.00007275015,0.00002842169,0.00001893601,0.0001237985,0.000008694038],"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":[0.0003738015,0.000335354,0.004115208,0.0002157588,0.00008771058,0.00020631,0.0001041785,0.1785291,0.06449392,0.00228887,0.003480365,0.7457694],"study_design_scores_gemma":[0.00000698675,0.0001168235,0.003153067,0.0000159788,0.00002297571,0.00008613218,0.00002290251,0.9706034,0.02351342,0.0007559134,0.001690112,0.00001228021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2048895,0.001533881,0.7767071,0.0004709773,0.0002796389,0.0002943744,0.000453284,0.00375997,0.01161117],"genre_scores_gemma":[0.7314377,0.000790485,0.2532469,0.0001445581,0.00005476798,0.0002164906,0.0005463876,0.00005849682,0.01350422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004596847,"threshold_uncertainty_score":0.009140193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009275305412454004,"score_gpt":0.2445875501897998,"score_spread":0.2353122447773458,"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."}}