{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T18:50:02Z","timestamp":1772650202246,"version":"3.50.1"},"reference-count":57,"publisher":"Informa UK Limited","issue":"7","content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization"],"published-print":{"date-parts":[[2024,1,19]]},"DOI":"10.1080\/21681163.2023.2266048","type":"journal-article","created":{"date-parts":[[2023,10,15]],"date-time":"2023-10-15T20:07:51Z","timestamp":1697400471000},"update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":6,"title":["Hybrid generative model for grading the severity of diabetic retinopathy images"],"prefix":"10.1080","volume":"11","author":[{"given":"R.","family":"Bhuvaneswari","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Amrita School of Computing, Chennai, India"}]},{"given":"M.","family":"Diviya","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Amrita School of Computing, Chennai, India"}]},{"given":"M.","family":"Subramanian","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, St.Joseph\u2019s College of Engineering, Chennai, India"}]},{"given":"Ramya","family":"Maranan","sequence":"additional","affiliation":[{"name":"Department of Research and Innovation, Saveetha School of Engineering, SIMATS, Chennai, India"}]},{"given":"R","family":"Josphineleela","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Panimalar Engineering College, Chennai, India"}]}],"member":"301","published-online":{"date-parts":[[2023,10,15]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2013.11.014"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2017.081249"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.3991\/ijoe.v18i13.33985"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCIT52419.2022.9711602"},{"issue":"4","key":"e_1_3_3_6_1","first-page":"39","article-title":"A deep convolutional extreme machine learning classification method to detect bone cancer from histopathological images","volume":"10","author":"Anand D","year":"2022","unstructured":"Anand D, Arulselvi G, Balaji GN, Chandra GR. 2022. A deep convolutional extreme machine learning classification method to detect bone cancer from histopathological images. Int J Intell Sys Appl Eng. 10(4):39\u201347.","journal-title":"Int J Intell Sys Appl Eng"},{"issue":"58","key":"e_1_3_3_7_1","first-page":"212","article-title":"Binary classification of DR-diabetic retinopathy using CNN with fundus colour images","author":"Anoop B","year":"2022","unstructured":"Anoop B 2022. Binary classification of DR-diabetic retinopathy using CNN with fundus colour images. Materials Today: Proceedings. 58:212\u2013216.","journal-title":"Materials Today: Proceedings"},{"issue":"1","key":"e_1_3_3_8_1","first-page":"296","article-title":"Tomato ripeness detection and classification using VGG based CNN models","volume":"11","author":"Appe SRN","year":"2023","unstructured":"Appe SRN, Arulselvi G, Balaji GN. 2023. Tomato ripeness detection and classification using VGG based CNN models. Int J Intell Sys Appl Eng. 11(1):296\u2013302.","journal-title":"Int J Intell Sys Appl Eng"},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2019.01.005"},{"key":"e_1_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2020.02.004"},{"key":"e_1_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-28680-3"},{"key":"e_1_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.17485\/ijst\/2016\/v9i30\/99001"},{"key":"e_1_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-02188-4"},{"key":"e_1_3_3_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.8441504"},{"key":"e_1_3_3_15_1","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-211364"},{"key":"e_1_3_3_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.12.110"},{"key":"e_1_3_3_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-22042-5_11"},{"key":"e_1_3_3_18_1","unstructured":"Damodaran N Sowmya V Govind D KP S. Vol 1; 2019: Springer."},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.irbm.2013.01.010"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.5566\/ias.1155"},{"key":"e_1_3_3_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3207874"},{"key":"e_1_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-59745-563-3_15"},{"key":"e_1_3_3_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.103810"},{"key":"e_1_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2979753"},{"key":"e_1_3_3_25_1","doi-asserted-by":"publisher","DOI":"10.3991\/ijoe.v19i04.37677"},{"key":"e_1_3_3_26_1","doi-asserted-by":"publisher","DOI":"10.15676\/ijeei.2021.13.3.2"},{"key":"e_1_3_3_27_1","doi-asserted-by":"publisher","DOI":"10.1504\/IJSISE.2018.093825"},{"key":"e_1_3_3_28_1","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/8512469"},{"key":"e_1_3_3_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2019.06.001"},{"key":"e_1_3_3_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3023463"},{"key":"e_1_3_3_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3143833"},{"key":"e_1_3_3_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3554737"},{"key":"e_1_3_3_33_1","first-page":"224","article-title":"Multiclass classification of histology on colorectal cancer using deep learning","volume":"1","author":"Izzaty AMK","year":"2022","unstructured":"Izzaty AMK, Cenggoro TW, Elwirehardja GN, Pardamean B. 2022. Multiclass classification of histology on colorectal cancer using deep learning. Commun Math Biol Neurosci. 1:224\u2013230 .","journal-title":"Commun Math Biol Neurosci"},{"key":"e_1_3_3_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8857160"},{"key":"e_1_3_3_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00362"},{"key":"e_1_3_3_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-018-1055-x"},{"key":"e_1_3_3_37_1","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-189859"},{"key":"e_1_3_3_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2020.05.009"},{"key":"e_1_3_3_39_1","doi-asserted-by":"publisher","DOI":"10.1049\/htl.2016.0067"},{"key":"e_1_3_3_40_1","first-page":"220199-1\u2013220199","article-title":"Classification algorithm of retinopathy based on attention mechanism and multi feature fusion","volume":"50","author":"Liming L","year":"2023","unstructured":"Liming L, Xin D, Renjie L, Anjun H. 2023. Classification algorithm of retinopathy based on attention mechanism and multi feature fusion. Opto-Electron Eng. 50:220199-1\u2013220199\u201312.","journal-title":"Opto-Electron Eng"},{"key":"e_1_3_3_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2019.07.002"},{"key":"e_1_3_3_42_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2019.05.008"},{"key":"e_1_3_3_43_1","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/6142839"},{"key":"e_1_3_3_44_1","first-page":"1","article-title":"Improving lung disease detection by joint learning with COVID-19 radiography database","volume":"2022","author":"Muljo HH","year":"2022","unstructured":"Muljo HH, Pardamean B, Purwandari K, Cenggoro TW. 2022. Improving lung disease detection by joint learning with COVID-19 radiography database. Commun Math Biol Neurosci. 2022:1.","journal-title":"Commun Math Biol Neurosci"},{"key":"e_1_3_3_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119557"},{"key":"e_1_3_3_46_1","author":"Natarajan B","year":"2023","unstructured":"Natarajan B Elakkiya R Bhuvaneswari R Saleem K Chaudhary D Samsudeen SH2023Creating alert messages based on wild animal activity detection using hybrid deep neural networks","journal-title":"Creating alert messages based on wild animal activity detection using hybrid deep neural networks"},{"key":"e_1_3_3_47_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-022-07054-2"},{"key":"e_1_3_3_48_1","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/9139713"},{"key":"e_1_3_3_49_1","doi-asserted-by":"publisher","DOI":"10.1136\/bjophthalmol-2011-300539"},{"key":"e_1_3_3_50_1","volume-title":"International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)","author":"Prabha S","year":"2022","unstructured":"Prabha, S, Reddy, M. A, Sreehari, M, Sankaran, K. S. 2022. Machine Learning Technique for Analysing the Diabetic Retinopathy. International Conference on Sustainable Computing and Data Communication Systems (ICSCDS); Erode, Tamil Nadu, India; IEEE."},{"key":"e_1_3_3_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2013.2294635"},{"key":"e_1_3_3_52_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-47181-w"},{"key":"e_1_3_3_53_1","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-189146"},{"key":"e_1_3_3_54_1","doi-asserted-by":"publisher","DOI":"10.1504\/IJBET.2018.089969"},{"issue":"827","key":"e_1_3_3_55_1","first-page":"188","article-title":"Theory of support vector machines","volume":"117","author":"Stitson M","year":"1996","unstructured":"Stitson M, Weston J, Gammerman A, Vovk V, Vapnik V. 1996. Theory of support vector machines. Univ London. 117(827):188\u2013191.","journal-title":"Univ London"},{"key":"e_1_3_3_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2023.3258455"},{"key":"e_1_3_3_57_1","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-191438"},{"key":"e_1_3_3_58_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87237-3_5"}],"container-title":["Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/21681163.2023.2266048","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,24]],"date-time":"2024-09-24T14:50:02Z","timestamp":1727189402000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/21681163.2023.2266048"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,15]]},"references-count":57,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2024,1,19]]}},"alternative-id":["10.1080\/21681163.2023.2266048"],"URL":"https:\/\/doi.org\/10.1080\/21681163.2023.2266048","relation":{},"ISSN":["2168-1163","2168-1171"],"issn-type":[{"value":"2168-1163","type":"print"},{"value":"2168-1171","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,15]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tciv20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tciv20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2023-03-17","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-09-27","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-10-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2266048"}}