{"id":"W4386384331","doi":"10.18280/ts.400426","title":"Cloud-Based LeNet-5 CNN for MRI Brain Tumor Diagnosis and Recognition","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"King Saud University","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Cloud computing; Pooling; Pattern recognition (psychology); Deep learning; Segmentation; Logistic regression; Local binary patterns; Python (programming language); Machine learning; Histogram; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002809613,0.0007523291,0.0003405681,0.0007003433,0.0002226529,0.0004750127,0.001255733,0.0004150073,0.004455244],"category_scores_gemma":[0.0007075405,0.0002975976,0.0004724285,0.0006668952,0.0001500975,0.0007428316,0.0005658986,0.0005109715,0.001547337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009923313,"about_ca_system_score_gemma":0.0008114958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01653666,"about_ca_topic_score_gemma":0.02870426,"domain_scores_codex":[0.9998121,0.00001313175,0.00001195574,0.0000536866,0.00006353585,0.00004572647],"domain_scores_gemma":[0.9998465,0.00002343891,0.00002131129,0.00003380139,0.0000600078,0.00001495291],"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":[0.001114038,0.0007057469,0.01104861,0.0004306383,0.0003818819,0.001087774,0.0001028145,0.2725979,0.06917579,0.003881101,0.05321902,0.5862547],"study_design_scores_gemma":[0.00002591192,0.0001292258,0.002875098,0.00002413226,0.00003839447,0.0002082785,0.00003007994,0.960508,0.02915767,0.0009588795,0.006017616,0.00002668226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.481358,0.002867007,0.4314772,0.0009467965,0.0006454603,0.0007564561,0.01108914,0.04477996,0.02607997],"genre_scores_gemma":[0.7964,0.0008859519,0.1718396,0.0004856458,0.00005107966,0.0002584195,0.01500678,0.000384046,0.0146886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01653666,"threshold_uncertainty_score":0.03288078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0792281836318009,"score_gpt":0.2841521527644492,"score_spread":0.2049239691326483,"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."}}