{"id":"W4221117076","doi":"10.3389/fmed.2022.792390","title":"PET and CT Image Fusion of Lung Cancer With Siamese Pyramid Fusion Network","year":2022,"lang":"en","type":"article","venue":"Frontiers in Medicine","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Science Foundation of Shanxi Province; National Natural Science Foundation of China","keywords":"Image fusion; Artificial intelligence; Fusion; Computer science; Computer vision; Pattern recognition (psychology); Pyramid (geometry); Image (mathematics); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002617103,0.0001555776,0.0003754359,0.0001836234,0.00007295713,0.000002769908,0.0001390119,0.00001540033,0.0003388376],"category_scores_gemma":[0.00002514065,0.0001299031,0.00001544729,0.0004505075,0.0001604112,0.00009346777,0.0001216544,0.0003258673,9.998311e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435651,"about_ca_system_score_gemma":0.00001559705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008522053,"about_ca_topic_score_gemma":0.00001496556,"domain_scores_codex":[0.9989977,0.00003748063,0.0002497656,0.0001910116,0.0002891179,0.0002349575],"domain_scores_gemma":[0.9996083,0.00002540826,0.00006613853,0.000215365,0.00002647941,0.00005830023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004570271,0.00007151518,0.08772738,0.0007707234,0.00009877407,0.0006692148,0.002051153,0.05383018,0.0473073,0.00005779785,0.6915661,0.1153928],"study_design_scores_gemma":[0.008562301,0.001605875,0.02587102,0.003000396,0.0002821753,0.0003130662,0.006440356,0.8241328,0.01251348,0.003516249,0.1121579,0.001604421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4883285,0.04036958,0.4595197,0.001088888,0.002974329,0.001868752,0.00004808989,0.0008592613,0.004942834],"genre_scores_gemma":[0.8254321,0.00867443,0.1641754,0.0003033616,0.0003179189,0.0004312418,0.00004878795,0.0001260661,0.0004906724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7703027,"threshold_uncertainty_score":0.5297295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003091046599299367,"score_gpt":0.232240902528594,"score_spread":0.2291498559292946,"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."}}