{"id":"W4406800169","doi":"10.1007/978-3-031-78554-2_17","title":"Medical Report Generation from Medical Images Using Vision Transformer and Bart Deep Learning Architectures","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Artificial intelligence; Transformer; Computer vision; Deep learning; Medical imaging; Electrical engineering; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001639915,0.0004832541,0.0005285696,0.0006337491,0.0005351927,0.0004844347,0.001999429,0.0005909136,0.0000839606],"category_scores_gemma":[0.0008945064,0.0004273392,0.0001085222,0.0004440603,0.0007668821,0.0002610809,0.0008607259,0.00204586,0.000007369118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000152558,"about_ca_system_score_gemma":0.0009190362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005451828,"about_ca_topic_score_gemma":0.0002394169,"domain_scores_codex":[0.994642,0.0001219869,0.0007281595,0.001835754,0.002180581,0.0004915078],"domain_scores_gemma":[0.9973611,0.0009232446,0.0002616451,0.0009180657,0.0001684875,0.0003674334],"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":[0.000003253032,0.00002076643,0.0005407026,0.00001927412,0.00001483246,0.0002309394,0.0004247569,0.03525978,0.0005580121,0.003034775,0.00001001284,0.9598829],"study_design_scores_gemma":[0.000232964,0.0000563189,0.001571344,0.000403404,0.00001345407,0.0003492579,9.897829e-8,0.9767033,0.0004838523,0.01890677,0.0008643987,0.0004147975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002911359,0.0007278793,0.9899252,0.004268204,0.0006640343,0.000311344,0.000002694294,0.0002003017,0.0009889841],"genre_scores_gemma":[0.360926,0.0001008921,0.6363535,0.001521431,0.0008716775,0.00001425619,0.00003816259,0.0000358879,0.0001381392],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9594681,"threshold_uncertainty_score":0.9998178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135486363745727,"score_gpt":0.2946669953497657,"score_spread":0.2833121317123085,"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."}}