{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T14:04:58Z","timestamp":1779977098302,"version":"3.53.1"},"reference-count":28,"publisher":"Association for Research in Vision and Ophthalmology (ARVO)","issue":"5","license":[{"start":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T00:00:00Z","timestamp":1779926400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Trans. Vis. Sci. Tech."],"published-print":{"date-parts":[[2026,5,28]]},"DOI":"10.1167\/tvst.15.5.27","type":"journal-article","created":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T13:30:41Z","timestamp":1779975041000},"page":"27","source":"Crossref","is-referenced-by-count":0,"title":["Radiomics-Based Fundus Photography Analysis in Diabetic Retinopathy"],"prefix":"10.1167","volume":"15","author":[{"given":"Elham","family":"Sadeghi","sequence":"first","affiliation":[{"name":"Department of Ophthalmology, University of Pittsburgh, Medical Center, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryan Chace","family":"Williamson","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, University of Pittsburgh, Medical Center, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesca","family":"Corona","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, University of Pittsburgh, Medical Center, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elli","family":"Davis","sequence":"additional","affiliation":[{"name":"Temple Medical University, Philadelphia, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Kozlov","sequence":"additional","affiliation":[{"name":"SUNY Downstate Health Sciences University, Brooklyn, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kiran Kumar","family":"Vupparaboina","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, University of Pittsburgh, Medical Center, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sandeep Chandra","family":"Bollepalli","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, University of Pittsburgh, Medical Center, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9-Alain","family":"Sahel","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, University of Pittsburgh, Medical Center, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jay","family":"Chhablani","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, University of Pittsburgh, Medical Center, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Evan L.","family":"Waxman","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, University of Pittsburgh, Medical Center, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"27","reference":[{"issue":"1","key":"bib1","first-page":"6620661","article-title":"Evaluation of the effect of garlic tablet as a complementary treatment for patients with diabetic retinopathy","volume":"2022","author":"Afarid","year":"2022","journal-title":"J Diabetes Res"},{"issue":"6","key":"bib2","first-page":"61","article-title":"A framework for diabetic retinopathy detection using transfer learning and data fusion","volume":"16","author":"Akhtar","year":"2024","journal-title":"Int J Inform Technol Comput Sci (IJITCS)"},{"issue":"11","key":"bib3","doi-asserted-by":"publisher","first-page":"1580","DOI":"10.1016\/j.ophtha.2021.04.027","article-title":"Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis","volume":"128","author":"Teo","year":"2021","journal-title":"Ophthalmology"},{"issue":"1","key":"bib4","doi-asserted-by":"publisher","first-page":"3763","DOI":"10.1038\/s41598-025-87171-9","article-title":"A deep learning based model for diabetic retinopathy grading","volume":"15","author":"Akhtar","year":"2025","journal-title":"Sci Rep"},{"issue":"10","key":"bib6","doi-asserted-by":"publisher","first-page":"e13069","DOI":"10.1111\/exsy.13069","article-title":"A novel hybrid robust architecture for automatic screening of glaucoma using fundus photos, built on feature selection and machine learning-nature driven computing","volume":"39","author":"Singh","year":"2022","journal-title":"Expert Syst"},{"issue":"27","key":"bib7","doi-asserted-by":"publisher","first-page":"42851","DOI":"10.1007\/s11042-023-15175-6","article-title":"Nature-inspired computing and machine learning based classification approach for glaucoma in retinal fundus images","volume":"82","author":"Singh","year":"2023","journal-title":"Multimed Tools Appl"},{"issue":"3","key":"bib10","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1016\/j.radonc.2016.04.004","article-title":"Radiomic phenotype features predict pathological response in non-small cell lung cancer","volume":"119","author":"Coroller","year":"2016","journal-title":"Radiother Oncol"},{"issue":"12","key":"bib11","doi-asserted-by":"publisher","first-page":"6749","DOI":"10.1007\/s00330-020-06893-8","article-title":"CT-based radiomics to predict the pathological grade of bladder cancer","volume":"30","author":"Zhang","year":"2020","journal-title":"Eur Radiol"},{"issue":"1","key":"bib12","doi-asserted-by":"publisher","first-page":"15434","DOI":"10.1038\/s41598-020-72359-y","article-title":"Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers","volume":"10","author":"Banerjee","year":"2020","journal-title":"Sci Rep"},{"issue":"2","key":"bib13","doi-asserted-by":"publisher","first-page":"100259","DOI":"10.1016\/j.xops.2022.100259","article-title":"Radiomics-based assessment of OCT angiography images for diabetic retinopathy diagnosis","volume":"3","author":"Carrera-Escal\u00e9","year":"2023","journal-title":"Ophthalmol Sci"},{"issue":"3","key":"bib14","doi-asserted-by":"publisher","first-page":"100716","DOI":"10.1016\/j.xops.2025.100716","article-title":"Radiomic feature extraction from OCT angiography of idiopathic epiretinal membranes and correlation with visual acuity: a pilot study","volume":"5","author":"Savastano","year":"2025","journal-title":"Ophthalmol Sci"},{"issue":"1","key":"bib15","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1186\/s12967-024-05141-7","article-title":"Machine learning and optical coherence tomography-derived radiomics analysis to predict persistent diabetic macular edema in patients undergoing anti-VEGF intravitreal therapy","volume":"22","author":"Meng","year":"2024","journal-title":"J Transl Med"},{"issue":"4","key":"bib16","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1167\/tvst.14.4.23","article-title":"Radiomics-based OCT analysis of choroid reveals biomarkers of central serous chorioretinopathy","volume":"14","author":"Williamson","year":"2025","journal-title":"Transl Vis Sci Technol"},{"issue":"10","key":"bib17","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1167\/tvst.12.10.3","article-title":"Radiomics-based prediction of anti-VEGF treatment response in neovascular age-related macular degeneration with pigment epithelial detachment","volume":"12","author":"Williamson","year":"2023","journal-title":"Transl Vis Sci Technol"},{"issue":"8","key":"bib18","first-page":"1724","article-title":"Radiomics-based OCT analysis of unaffected fellow eyes uncovers biomarkers of central serous chorioretinopathy","volume":"66","author":"Williamson","year":"2025","journal-title":"Invest Ophthalmol Vis Sci"},{"issue":"1","key":"bib19","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1007\/s00330-024-10911-4","article-title":"Radiomics in ophthalmology: a systematic review","volume":"35","author":"Zhang","year":"2025","journal-title":"Eur Radiol"},{"key":"bib20","article-title":"PyFeats: open source software for image feature extraction","author":"Giakoumoglou","year":"2021","journal-title":"GitHub Repository"},{"issue":"6","key":"bib21","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","article-title":"Textural features for image classification","author":"Haralick","year":"2007","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"73","key":"bib23","first-page":"58","article-title":"Theory of communication","volume":"94","author":"Gabor","year":"1947","journal-title":"J Institution Electric Eng"},{"key":"bib24","doi-asserted-by":"publisher","first-page":"123557","DOI":"10.1016\/j.eswa.2024.123557","article-title":"Breast cancer classification through multivariate radiomic time series analysis in DCE-MRI sequences","volume":"249","author":"Prinzi","year":"2024","journal-title":"Expert Syst Appl"},{"issue":"12","key":"bib25","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","article-title":"Radiomics: the bridge between medical imaging and personalized medicine","volume":"14","author":"Lambin","year":"2017","journal-title":"Nat Rev Clin Oncol"},{"issue":"10","key":"bib27","doi-asserted-by":"publisher","first-page":"e0289555","DOI":"10.1371\/journal.pone.0289555","article-title":"Predicting of diabetic retinopathy development stages of fundus images using deep learning based on combined features","volume":"18","author":"Shamsan","year":"2023","journal-title":"PLoS One"},{"key":"bib28","doi-asserted-by":"publisher","first-page":"105292","DOI":"10.1016\/j.imavis.2024.105292","article-title":"Automated grading of diabetic retinopathy and radiomics analysis on ultra-wide optical coherence tomography angiography scans","volume":"151","author":"Soren","year":"2024","journal-title":"Image Vis Comput"},{"key":"bib5","doi-asserted-by":"crossref","DOI":"10.1109\/AECE59614.2023.10428233","article-title":"Transfer-ensemble learning based deep convolutional neural networks for diabetic retinopathy classification","volume-title":"2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE)","author":"Ghosh","year":"2023"},{"key":"bib8","article-title":"De Novo Classification Request for IDx-DR","author":"US Food and Drug Administration (FDA)","year":"2018"},{"key":"bib9","article-title":"510(k) Summary for EyeArt","author":"US Food and Drug Administration (FDA)","year":"2020"},{"key":"bib22","volume-title":"Rapid texture identification. Image processing for missile guidance","author":"Laws","year":"1980"},{"key":"bib26","first-page":"281","article-title":"Radiomic features for diabetic retinopathy early detection using deep neural networks","volume-title":"17th International Conference on Signal-Image Technology & Internet-based Systems (SITIS), Bangkok, Thailand","author":"Baffa","year":"2023"}],"container-title":["Translational Vision Science & Technology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/tvst.arvojournals.org\/article.aspx?doi=10.1167\/tvst.15.5.27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T13:30:43Z","timestamp":1779975043000},"score":1,"resource":{"primary":{"URL":"http:\/\/tvst.arvojournals.org\/article.aspx?doi=10.1167\/tvst.15.5.27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,28]]},"references-count":28,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,5,1]]}},"URL":"https:\/\/doi.org\/10.1167\/tvst.15.5.27","relation":{},"ISSN":["2164-2591"],"issn-type":[{"value":"2164-2591","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5,28]]}}}