{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T18:18:50Z","timestamp":1776881930150,"version":"3.51.2"},"reference-count":68,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2023,1,28]],"date-time":"2023-01-28T00:00:00Z","timestamp":1674864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>Irreversible vision loss is a worldwide threat. Developing a computer-aided diagnosis system to detect retinal fundus diseases is extremely useful and serviceable to ophthalmologists. Early detection, diagnosis, and correct treatment could save the eye\u2019s vision. Nevertheless, an eye may be afflicted with several diseases if proper care is not taken. A single retinal fundus image might be linked to one or more diseases. Age-related macular degeneration, cataracts, diabetic retinopathy, Glaucoma, and uncorrected refractive errors are the leading causes of visual impairment. Our research team at the center of excellence lab has generated a new dataset called the Retinal Fundus Multi-Disease Image Dataset 2.0 (RFMiD2.0). This dataset includes around 860 retinal fundus images, annotated by three eye specialists, and is a multiclass, multilabel dataset. We gathered images from a research facility in Jalna and Nanded, where patients across Maharashtra come for preventative and therapeutic eye care. Our dataset would be the second publicly available dataset consisting of the most frequent diseases, along with some rarely identified diseases. This dataset is auxiliary to the previously published RFMiD dataset. This dataset would be significant for the research and development of artificial intelligence in ophthalmology.<\/jats:p>","DOI":"10.3390\/data8020029","type":"journal-article","created":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T05:57:23Z","timestamp":1675058243000},"page":"29","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0: A Dataset of Frequently and Rarely Identified Diseases"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9162-8324","authenticated-orcid":false,"given":"Sachin","family":"Panchal","sequence":"first","affiliation":[{"name":"Center of Excellence in Signal and Image Processing, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded 431606, Maharashtra, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2370-4057","authenticated-orcid":false,"given":"Ankita","family":"Naik","sequence":"additional","affiliation":[{"name":"Center of Excellence in Signal and Image Processing, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded 431606, Maharashtra, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6947-4090","authenticated-orcid":false,"given":"Manesh","family":"Kokare","sequence":"additional","affiliation":[{"name":"Center of Excellence in Signal and Image Processing, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded 431606, Maharashtra, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5226-6706","authenticated-orcid":false,"given":"Samiksha","family":"Pachade","sequence":"additional","affiliation":[{"name":"School of Biomedical Informatics, The University of Texas Health Science Center, 7000 Fannin St Suite 600, Houston, TX 77030, USA"}]},{"given":"Rushikesh","family":"Naigaonkar","sequence":"additional","affiliation":[{"name":"Shri Ganapati Netralaya State of Art Eye Care Hospital, Jalna 431203, Maharashtra, India"}]},{"given":"Prerana","family":"Phadnis","sequence":"additional","affiliation":[{"name":"Lions Eye Hospital, Nanded 431603, Maharashtra, India"}]},{"given":"Archana","family":"Bhange","sequence":"additional","affiliation":[{"name":"Keya Eye Clinic, Pune 411062, Maharashtra, India"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,28]]},"reference":[{"key":"ref_1","unstructured":"(2022, October 13). 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