{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T20:54:57Z","timestamp":1770065697764,"version":"3.49.0"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,11,5]],"date-time":"2022-11-05T00:00:00Z","timestamp":1667606400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,5]],"date-time":"2022-11-05T00:00:00Z","timestamp":1667606400000},"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":[[2022,11,5]]},"DOI":"10.1109\/cisp-bmei56279.2022.9980238","type":"proceedings-article","created":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T13:59:19Z","timestamp":1671631159000},"page":"1-6","source":"Crossref","is-referenced-by-count":7,"title":["Cervical Cancer Screening on Multi-class Imbalanced Cervigram Dataset using Transfer Learning"],"prefix":"10.1109","author":[{"given":"Manisha","family":"Saini","sequence":"first","affiliation":[{"name":"Delhi Technological University,Department of Computer Science and Engineering,New Delhi,India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seba","family":"Susan","sequence":"additional","affiliation":[{"name":"Delhi Technological University,Department of Information Technology,New Delhi,India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0276-2"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2788044"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93000-8_86"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.3023471"},{"key":"ref37","first-page":"630","article-title":"Identity mappings in deep residual networks","author":"he","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/s20185097"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref31","year":"0","journal-title":"Intel and mobileodt cervical can-cer screening"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00359"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/app10061999"},{"key":"ref33","author":"zaccone","year":"2017","journal-title":"Deep Learning with TensorFlow"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1265"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/EICT48899.2019.9068805"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2021.02.042"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2020.00464"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1615\/CritRevBiomedEng.2018026019"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-021-00551-6"},{"key":"ref38","first-page":"1251","article-title":"Xception: Deep learning with depthwise separable convolutions","author":"chollet","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.09.015"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-95748-3"},{"key":"ref24","author":"adem","year":"2019","journal-title":"Classification and diagnosis of cervical cancer with softmax classification with stacked autoencoder"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2019.8834495"},{"key":"ref26","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref25","year":"2019","journal-title":"Breast cancer histopathological database (breakhis) - laboratorio visao robotica e imagem"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3364836.3364857"},{"key":"ref41","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for con-volutional neural networks","author":"tan","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICICCS51141.2021.9432382"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"104352","DOI":"10.1016\/j.ijmedinf.2020.104352","article-title":"Msci: A multi state dataset for colposcopy image classification of cervical cancer screening","volume":"146","author":"yu","year":"2021","journal-title":"International Journal of Medical Informatics"},{"key":"ref28","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2018.12.030"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-31332-6_36"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2022.3163277"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/eng2.12298"},{"key":"ref3","first-page":"760","article-title":"Hybrid of intelligent minority oversampling and pso-based intelligent majority undersampling for learning from imbalanced datasets","author":"susan","year":"2018","journal-title":"International Conference on Intelligent Systems Design and Applications"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-10612-w"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106759"},{"key":"ref40","article-title":"Densenet: Implementing efficient convnet descriptor pyra-mids","author":"iandola","year":"2014","journal-title":"ArXiv Preprint"}],"event":{"name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","location":"Beijing, China","start":{"date-parts":[[2022,11,5]]},"end":{"date-parts":[[2022,11,7]]}},"container-title":["2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9979807\/9979817\/09980238.pdf?arnumber=9980238","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,16]],"date-time":"2023-01-16T14:36:48Z","timestamp":1673879808000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9980238\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,5]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/cisp-bmei56279.2022.9980238","relation":{},"subject":[],"published":{"date-parts":[[2022,11,5]]}}}