{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T03:14:54Z","timestamp":1773285294880,"version":"3.50.1"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1109\/ijcnn48605.2020.9206646","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T00:40:33Z","timestamp":1601426433000},"page":"1-8","source":"Crossref","is-referenced-by-count":8,"title":["Deep Learning based fully automatic efficient Burn Severity Estimators for better Burn Diagnosis"],"prefix":"10.1109","author":[{"given":"Joohi","family":"Chauhan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Puneet","family":"Goyal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","author":"abadi","year":"2015"},{"key":"ref32","article-title":"Mathworks Deep Learning Toolbox","year":"0"},{"key":"ref31","article-title":"Keras","author":"chollet","year":"2015"},{"key":"ref30","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"ICLRE"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2254719"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.burns.2015.05.011"},{"key":"ref12","article-title":"Tensor Decomposition for colour Image Segmentation of Burn Wounds","volume":"9","author":"marco","year":"2019","journal-title":"Scientific Reports Nature"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/HealthCom.2016.7749450"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/jbcr\/irz103"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/0007-1226(78)90003-6"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-17398-8"},{"key":"ref18","article-title":"The Appearance of Human Skin","author":"igarashi","year":"2005","journal-title":"tech report CUCS-024-05"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.4103\/tjps.TJPS_2_17"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(98)00010-0"},{"key":"ref4","article-title":"Emergency care of moderate and severe thermal burns in adults","year":"0"},{"key":"ref27","article-title":"Regularization for deep learning: A taxonomy","author":"kukacka","year":"2017"},{"key":"ref3","article-title":"Burns","year":"0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2019.07.063"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.burns.2017.08.004"},{"key":"ref29","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2015","journal-title":"Journal of Machine Learning Research"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1258\/135763303322196213"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/S0305-4179(99)00053-4"},{"key":"ref2","article-title":"A WHO plan for burn prevention and care","author":"mock","year":"2008"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2001.1017338"},{"key":"ref1","article-title":"Fact sheets – Burns","year":"2018"},{"key":"ref20","article-title":"iStock","year":"0"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"47","DOI":"10.4103\/0971-653X.195523","article-title":"Epidemiology of burns in teaching hospital of Northern India","volume":"24","author":"wani","year":"2016","journal-title":"Indian Journal of Burns"},{"key":"ref21","first-page":"175","article-title":"Thermal injury to the hand: review of the literature","volume":"24","author":"abu-sittah","year":"2011","journal-title":"Ann Burns Fire Disasters"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref23","article-title":"Handling limited datasets with neural networks in medical applications: A small-data approach","volume":"75","author":"shaikhina","year":"2015","journal-title":"Artificial Intelligence in Medicine"},{"key":"ref26","first-page":"3320","article-title":"How transferable are features in deep neural networksƒ","author":"yosinski","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"}],"event":{"name":"2020 International Joint Conference on Neural Networks (IJCNN)","location":"Glasgow, United Kingdom","start":{"date-parts":[[2020,7,19]]},"end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9200848\/9206590\/09206646.pdf?arnumber=9206646","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:54:32Z","timestamp":1656453272000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9206646\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9206646","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}