{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002943864,0.0002016368,0.000243396,0.000168089,0.0001621471,0.00007240754,0.00008913846,0.0001451013,0.000002697139],"category_scores_gemma":[0.00009372956,0.0001950833,0.00006021159,0.0003015353,0.0001138326,0.0001626666,0.0000178776,0.0002973288,4.503524e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005574947,"about_ca_system_score_gemma":0.00004337598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002582375,"about_ca_topic_score_gemma":5.452566e-7,"domain_scores_codex":[0.9987227,0.00005964399,0.0003636227,0.0003982079,0.0002119936,0.0002438745],"domain_scores_gemma":[0.9990941,0.0004601845,0.0001027143,0.0002096174,0.00004834858,0.00008507995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002321581,0.00004577704,0.00004384121,0.0005413754,0.00000471636,0.000001591747,0.00005404618,0.9271962,0.05767678,0.01370318,0.00001407067,0.0006951793],"study_design_scores_gemma":[0.0002679421,0.00002285878,0.0002634144,0.0004826448,0.00002698523,0.00002965115,0.00001326838,0.9891549,0.004321188,0.005239001,0.000009295986,0.0001688931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1929778,0.0001170029,0.8056951,0.0006023038,0.00008434036,0.0002739695,0.000002433704,0.0001279267,0.0001192073],"genre_scores_gemma":[0.9924521,0.0000082799,0.007223087,0.00009854056,0.0000374118,0.00004095711,0.00000542667,0.00002407299,0.000110062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7994744,"threshold_uncertainty_score":0.7955265,"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."}}