{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003884031,0.0001261462,0.0001090185,0.0001463207,0.0002348862,0.00007973452,0.00009631471,0.00003558698,0.0003100827],"category_scores_gemma":[0.0002512224,0.0001271708,0.00006409955,0.0003482959,0.0000736979,0.0001112869,0.00001484599,0.00007273847,0.0001419471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003703563,"about_ca_system_score_gemma":0.000027557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004426525,"about_ca_topic_score_gemma":0.000008698745,"domain_scores_codex":[0.9987997,0.0001086508,0.0002263497,0.0004043762,0.0002151941,0.0002457149],"domain_scores_gemma":[0.9989461,0.0007318098,0.00009316832,0.0001069262,0.00003319696,0.0000887885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005306643,0.0004223373,0.0008658576,0.0002261799,0.00001605521,0.0000246818,0.0004931219,0.0003182163,0.7267798,0.002231143,0.07777148,0.1903205],"study_design_scores_gemma":[0.002575034,0.0007337362,0.007321621,0.00005594866,0.00002985917,0.00001013144,0.0001635972,0.05435814,0.8717011,0.003514795,0.05916307,0.0003729164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746871,0.00001348119,0.01017674,0.01221177,0.0004733613,0.001236918,0.0001858456,0.0005293969,0.0004853771],"genre_scores_gemma":[0.994211,0.00001758054,0.0001664282,0.004171418,0.0002088646,0.0009099132,0.00003883106,0.00002341429,0.0002525967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1899476,"threshold_uncertainty_score":0.5185874,"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."}}