{"id":"W3023448049","doi":"10.1007/978-3-030-45385-5_25","title":"Cancer Detection Based on Image Classification by Using Convolution Neural Network","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"AI in cancer detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Convolution (computer science); Artificial intelligence; Convolutional neural network; Artificial neural network; Pattern recognition (psychology); Contextual image classification; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0003374889,0.0005899011,0.0007302998,0.0009769729,0.0002606378,0.0006797923,0.0006835525,0.0007435859,0.001752295],"category_scores_gemma":[0.0005143164,0.0002860621,0.0007233501,0.0008301281,0.0002145964,0.0007849637,0.0004149317,0.0003820196,0.0006145507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004025447,"about_ca_system_score_gemma":0.0004299093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002794686,"about_ca_topic_score_gemma":0.003241576,"domain_scores_codex":[0.9997835,0.00001706013,0.00001097827,0.00006514257,0.00008330661,0.00004005799],"domain_scores_gemma":[0.9998381,0.00004453975,0.0000185004,0.00001649088,0.00007061727,0.00001184514],"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":[0.0003962032,0.0001875369,0.006101971,0.0002015944,0.0001246049,0.000256413,0.00005027541,0.02213752,0.1300243,0.002269235,0.004903071,0.8333473],"study_design_scores_gemma":[0.00001462728,0.000161786,0.008264148,0.00002665329,0.000137984,0.000677981,0.00002496768,0.9215497,0.06366912,0.001952993,0.00348071,0.0000392459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1262764,0.002782828,0.8586154,0.0003953213,0.0003353597,0.0001438231,0.00039271,0.002692149,0.008365945],"genre_scores_gemma":[0.6030499,0.001984732,0.3811124,0.000283086,0.000182754,0.0001186883,0.0007067434,0.0001192371,0.01244247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002794686,"threshold_uncertainty_score":0.005861998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783409588187205,"score_gpt":0.2607649675246651,"score_spread":0.2329308716427931,"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."}}