{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T06:46:15Z","timestamp":1781851575939,"version":"3.54.5"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T00:00:00Z","timestamp":1717632000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T00:00:00Z","timestamp":1717632000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging. Inform. med."],"DOI":"10.1007\/s10278-024-01138-2","type":"journal-article","created":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T17:01:50Z","timestamp":1717693310000},"page":"3208-3216","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["MedYOLO: A Medical Image Object Detection Framework"],"prefix":"10.1007","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-6524-6537","authenticated-orcid":false,"given":"Joseph","family":"Sobek","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jose R.","family":"Medina Inojosa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Betsy J.","family":"Medina Inojosa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S. M.","family":"Rassoulinejad-Mousavi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gian Marco","family":"Conte","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francisco","family":"Lopez-Jimenez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bradley J.","family":"Erickson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,6,6]]},"reference":[{"key":"1138_CR1","doi-asserted-by":"publisher","unstructured":"Baumgartner M., J\u00e4ger P.F., Isensee F., Maier-Hein K.H.: nnDetection: A Self-configuring Method for Medical Object Detection. Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2021. https:\/\/doi.org\/10.1007\/978-3-030-87240-3_51, 2021","DOI":"10.1007\/978-3-030-87240-3_51"},{"key":"1138_CR2","doi-asserted-by":"publisher","unstructured":"Redmon J, Farhadi A: YOLO9000: Better, Faster, Stronger. 2017 IEEE Conference on Computer Vision and Pattern Recognition. https:\/\/doi.org\/10.48550\/arXiv.1612.08242, 2016","DOI":"10.48550\/arXiv.1612.08242"},{"key":"1138_CR3","doi-asserted-by":"publisher","unstructured":"Jocher G, et al.: ultralytics\/yolov5: v7.0 - YOLOv5 SOTA Realtime Instance Segmentation.\u00a0 https:\/\/doi.org\/10.5281\/zenodo.3908559, 2022","DOI":"10.5281\/zenodo.3908559"},{"key":"1138_CR4","doi-asserted-by":"publisher","unstructured":"U. Baid, et al.: The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. https:\/\/doi.org\/10.48550\/arXiv.2107.02314, 2021","DOI":"10.48550\/arXiv.2107.02314"},{"key":"1138_CR5","doi-asserted-by":"publisher","first-page":"1993","DOI":"10.1109\/TMI.2014.2377694","volume":"34","author":"BH Menze","year":"2015","unstructured":"B. H. Menze, A. Jakab, S. Bauer, J. Kalpathy-Cramer, K. Farahani, J. Kirby, et al.: The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Transactions on Medical Imaging 34:1993-2024, 2015","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"1138_CR6","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2017.117","volume":"4","author":"S Bakas","year":"2017","unstructured":"S. Bakas, H. Akbari, A. Sotiras, M. Bilello, M. Rozycki, J.S. Kirby, et al.: Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features. Sci Data 4:170117, 2017","journal-title":"Sci Data"},{"key":"1138_CR7","doi-asserted-by":"publisher","unstructured":"S. Bakas, H. Akbari, A. Sotiras, M. Bilello, M. Rozycki, J. Kirby, et al.: Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection. The Cancer Imaging Archive. https:\/\/doi.org\/10.7937\/K9\/TCIA.2017.KLXWJJ1Q, 2017","DOI":"10.7937\/K9\/TCIA.2017.KLXWJJ1Q"},{"key":"1138_CR8","doi-asserted-by":"publisher","unstructured":"S. Bakas, H. Akbari, A. Sotiras, M. Bilello, M. Rozycki, J. Kirby, et al.: Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection. The Cancer Imaging Archive. https:\/\/doi.org\/10.7937\/K9\/TCIA.2017.GJQ7R0EF, 2017","DOI":"10.7937\/K9\/TCIA.2017.GJQ7R0EF"},{"key":"1138_CR9","doi-asserted-by":"publisher","unstructured":"Armato III, S. G., et al.: Data From LIDC-IDRI. The Cancer Imaging Archive. https:\/\/doi.org\/10.7937\/K9\/TCIA.2015.LO9QL9SX, 2015","DOI":"10.7937\/K9\/TCIA.2015.LO9QL9SX"},{"key":"1138_CR10","doi-asserted-by":"publisher","first-page":"915","DOI":"10.1118\/1.3528204","volume":"38","author":"SG Armato III","year":"2011","unstructured":"Armato III, S.G., et al.: The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed reference database of lung nodules on CT scans. Medical Physics 38:915\u2014931, 2011","journal-title":"Medical Physics"},{"key":"1138_CR11","doi-asserted-by":"publisher","first-page":"1045","DOI":"10.1007\/s10278-013-9622-7","volume":"26","author":"K Clark","year":"2013","unstructured":"Clark, K., et al.: The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. Journal of Digital Imaging 26:1045-1057, 2013","journal-title":"Journal of Digital Imaging"},{"key":"1138_CR12","doi-asserted-by":"publisher","first-page":"5609","DOI":"10.1002\/mp.14422","volume":"47","author":"AD Weston","year":"2020","unstructured":"Weston, A.D., et al.: Complete abdomen and pelvis segmentation using U-net variant architecture. Med. Phys., 47:5609-5618, 2020","journal-title":"Med. Phys."},{"key":"1138_CR13","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1007\/s10278-019-00232-0","volume":"32","author":"KA Philbrick","year":"2019","unstructured":"Philbrick, K.A., et al.: RIL-Contour: A Medical Imaging Dataset Annotation Tool for and with Deep Learning. Journal of Digital Imaging 32:574-581, 2019","journal-title":"Journal of Digital Imaging"},{"key":"1138_CR14","doi-asserted-by":"publisher","unstructured":"Lin, T.-Y., et al.: Microsoft COCO: Common Objects in Context. https:\/\/doi.org\/10.48550\/arXiv.1405.0312, 2015","DOI":"10.48550\/arXiv.1405.0312"},{"key":"1138_CR15","doi-asserted-by":"publisher","unstructured":"Rouzrokh, P. et al.: Deep Learning Artificial Intelligence Model for Assessment of Hip Dislocation Risk Following Primary Total Hip Arthroplasty From Postoperative Radiographs. https:\/\/doi.org\/10.1016\/j.arth.2021.02.028, 2021","DOI":"10.1016\/j.arth.2021.02.028"},{"key":"1138_CR16","doi-asserted-by":"publisher","unstructured":"Wang, C.-Y., et al.: YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information. https:\/\/doi.org\/10.48550\/arXiv.2402.13616, 2024","DOI":"10.48550\/arXiv.2402.13616"},{"key":"1138_CR17","doi-asserted-by":"publisher","unstructured":"Kingma, D.P., Ba, J.: Adam: A Method for Stochastic Optimization. https:\/\/doi.org\/10.48550\/arXiv.1412.6980, 2014","DOI":"10.48550\/arXiv.1412.6980"}],"container-title":["Journal of Imaging Informatics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-024-01138-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-024-01138-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-024-01138-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T19:05:48Z","timestamp":1733166348000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-024-01138-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,6]]},"references-count":17,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["1138"],"URL":"https:\/\/doi.org\/10.1007\/s10278-024-01138-2","relation":{},"ISSN":["2948-2933"],"issn-type":[{"value":"2948-2933","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,6]]},"assertion":[{"value":"18 December 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 April 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 April 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 June 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This retrospective study was reviewed and deemed exempt by Mayo Clinic\u2019s Institutional Review Board.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"The informed consent was waived by ethics groups.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Participate"}},{"value":"The informed consent was waived by ethics groups.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}},{"value":"The authors declare no competing interests.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}]}}