{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T18:16:26Z","timestamp":1759774586254,"version":"3.37.3"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,9]]},"DOI":"10.1109\/bibm52615.2021.9669581","type":"proceedings-article","created":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T20:40:30Z","timestamp":1642192830000},"page":"3513-3520","source":"Crossref","is-referenced-by-count":4,"title":["A New Method Based on Deep Learning to Detect Lesions in Retinal Images using YOLOv5"],"prefix":"10.1109","author":[{"given":"Carlos","family":"Santos","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marilton","family":"Aguiar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Welfer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bruno","family":"Belloni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref30","first-page":"256","article-title":"Diagnosis of Apple Fruit Diseases in the Wild with Mask RCNN","volume":"12319","author":"melo","year":"2020","journal-title":"Intelligent Systems BRACIS 2020 Lecture Notes in Computer Science"},{"key":"ref10","article-title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","author":"bochkovskiy","year":"2020","journal-title":"ArXiv e-prints"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1109\/TMI.2002.806290"},{"key":"ref12","first-page":"118","article-title":"Underwater image segmentation using clahe enhancement and thresholding","volume":"2","author":"rai","year":"2012","journal-title":"International Journal of Emerging Technology and Advanced Engineering"},{"key":"ref13","first-page":"19","article-title":"A new measure of image enhancement","author":"lentz","year":"2000","journal-title":"IASTED International Conference on Signal Processing & Communication"},{"key":"ref14","first-page":"1","article-title":"MixUp: Beyond empirical risk minimization","author":"zhang","year":"2018","journal-title":"6th International Conference on Learning Representations ICLR 2018 - Conference Track Proceedings"},{"year":"2020","author":"idrisov","journal-title":"YOLOv4 vs YOLOv5","key":"ref15"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/CVPR42600.2020.01079"},{"year":"2021","author":"cochard","journal-title":"YOLOv5 The Latest Model for Object Detection","key":"ref17"},{"key":"ref18","first-page":"740","article-title":"Microsoft COCO: Common objects in context","volume":"8693 lncs","author":"lin","year":"2014","journal-title":"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/CVPRW50498.2020.00203"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1016\/j.cmpb.2020.105398"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1109\/CIBCB48159.2020.9277638"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1155\/2020\/5801870"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/CVPR.2019.00075"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.3390\/rs13183776"},{"key":"ref29","first-page":"398","article-title":"SSD: Single Shot MultiBox Detector","volume":"1","author":"konishi","year":"2016","journal-title":"ECCV"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1016\/j.ins.2019.06.011"},{"year":"2021","author":"couturier","article-title":"A deep learning object detection method for an efficient clusters initialization","key":"ref8"},{"year":"2021","author":"ge","article-title":"Yolox: Exceeding yolo series in 2021","key":"ref7"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1016\/j.media.2019.101561"},{"key":"ref9","article-title":"YOLOv5: The Latest Model for Object Detection","author":"solawetz","year":"2020","journal-title":"YOLOv5 New Version - Improvements And Evaluation"},{"key":"ref1","first-page":"1","article-title":"Updated 2017 ICO Guidelines for Diabetic Eye Care","year":"2017","journal-title":"ICO Guidelines for Diabetic Eye Care"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref22","article-title":"YOLOv3: An Incremental Improvement","author":"redmon","year":"2018","journal-title":"ArXiv e-prints"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/CVPR.2018.00913"},{"year":"2018","author":"rodrigues","journal-title":"Compara&#x00E7;&#x00E3;o entre Redes Neurais Convolucionais e T&#x00E9;cnicas de Pr&#x00E9;-processamento para Classificar C&#x00E9;lulas HEP-2 em Imagens de Imunofluoresc&#x00EA;ncia","key":"ref24"},{"key":"ref23","article-title":"Empirical Evaluation of Rectified Activations in Convolutional Network","author":"xu","year":"2015","journal-title":"ArXiv e-prints"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/CVPR.2019.00537"},{"key":"ref25","first-page":"1","article-title":"An overview of gradient descent optimization algorithms","author":"ruder","year":"2016","journal-title":"ArXiv e-prints"}],"event":{"name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2021,12,9]]},"location":"Houston, TX, USA","end":{"date-parts":[[2021,12,12]]}},"container-title":["2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9669261\/9669139\/09669581.pdf?arnumber=9669581","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:57:15Z","timestamp":1652201835000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9669581\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,9]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/bibm52615.2021.9669581","relation":{},"subject":[],"published":{"date-parts":[[2021,12,9]]}}}