{"id":"W4413343667","doi":"10.18280/mmep.120733","title":"Texture-Based Feature Extraction and Classification of Brain Tumors Using Mask Region-Based Convolutional Neural Network-Long Short-Term Memory Models","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Pattern recognition (psychology); Artificial intelligence; Computer science; Feature extraction; Term (time); Texture (cosmology); Feature (linguistics); Long short term memory; Artificial neural network; Image (mathematics); Recurrent neural network","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":[0.0001972478,0.0003548785,0.0004012723,0.0006510061,0.0001041375,0.0004463239,0.0003691493,0.0003239914,0.0005783273],"category_scores_gemma":[0.0005089091,0.0001552412,0.000546307,0.0005205088,0.0001677562,0.0004385494,0.000239934,0.0003286623,0.0002329956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003752234,"about_ca_system_score_gemma":0.000396094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00415607,"about_ca_topic_score_gemma":0.004613935,"domain_scores_codex":[0.9999352,0.000005115637,0.000003419449,0.00001570733,0.00002127107,0.00001933713],"domain_scores_gemma":[0.9998755,0.00003339846,0.00002632443,0.00001169307,0.00004349775,0.000009487919],"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":[0.0007522883,0.0002066173,0.01007096,0.0002066653,0.0001442157,0.000211747,0.00007654638,0.1854765,0.1888655,0.004219143,0.002801947,0.6069679],"study_design_scores_gemma":[0.000004864806,0.00004542949,0.00494436,0.000006544989,0.00002930397,0.00009023616,0.00001032362,0.9765571,0.01702197,0.0008097551,0.0004714981,0.000008598583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.292071,0.001144584,0.7037466,0.00023907,0.00007628321,0.00005293794,0.0005023977,0.0006741006,0.001493052],"genre_scores_gemma":[0.9048052,0.0006423648,0.09108877,0.00005307147,0.00004329201,0.00004604575,0.0005518688,0.00006027531,0.002709174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00415607,"threshold_uncertainty_score":0.008263767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06192339808304864,"score_gpt":0.2619557099313446,"score_spread":0.200032311848296,"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."}}