{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:06:29Z","timestamp":1750309589584,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T00:00:00Z","timestamp":1729123200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,17]]},"DOI":"10.1145\/3723178.3723187","type":"proceedings-article","created":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T07:16:47Z","timestamp":1749194207000},"page":"63-70","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Weighted Ensemble Strategy Using Transfer Learning for Enhanced Cervical Cancer Classification"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-3858-1279","authenticated-orcid":false,"family":"Sahajuddin","sequence":"first","affiliation":[{"name":"Computer Science and Engineering, Bangladesh University of Business & Technology, Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0881-600X","authenticated-orcid":false,"given":"Al-Amin Ahmed","family":"Shanto","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, Bangladesh University of Business & Technology, Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2202-552X","authenticated-orcid":false,"given":"Abdullah","family":"Al Maruf","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, Bangladesh University of Business & Technology, Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4133-1167","authenticated-orcid":false,"given":"Fahima","family":"Khanam","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, Bangladesh University of Business & Technology, Dhaka, Bangladesh"}]}],"member":"320","published-online":{"date-parts":[[2025,6,6]]},"reference":[{"key":"e_1_3_3_1_2_2","unstructured":"Mohammad\u00a0Subhi Al-Batah Mazen Alzyoud Raed Alazaidah Malek Toubat Haneen Alzoubi and Areej Olaiyat. 2022. Early Prediction of Cervical Cancer Using Machine Learning Techniques. Jordanian Journal of Computers and Information Technology 8 4 (2022)."},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"crossref","unstructured":"Alanoud Al\u00a0Mazroa Mohamad\u00a0Khairi Ishak Ayman Aljarbouh and Samih\u00a0M Mostafa. 2023. Improved Bald Eagle Search Optimization With Deep Learning-Based Cervical Cancer Detection and Classification. IEEE Access 11 (2023) 135175\u2013135184.","DOI":"10.1109\/ACCESS.2023.3337032"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"Mimonah Al\u00a0Qathrady Ahmad Shaf Tariq Ali Umar Farooq Aqib Rehman Samar\u00a0M Alqhtani Mohammed\u00a0S Alshehri Sultan Almakdi Muhammad Irfan Saifur Rahman et\u00a0al. 2024. A Novel Web Framework for Cervical Cancer Detection System: A Machine Learning Breakthrough. IEEE Access 12 (2024) 41542\u201341556.","DOI":"10.1109\/ACCESS.2024.3377124"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"crossref","unstructured":"Omneya Attallah. 2023. CerCan\u00b7 Net: Cervical cancer classification model via multi-layer feature ensembles of lightweight CNNs and transfer learning. Expert Systems with Applications 229 (2023) 120624.","DOI":"10.1016\/j.eswa.2023.120624"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"B\u00a0Sai Chandana et\u00a0al. 2023. Multi-class Cervical Cancer Classification using Transfer Learning-based Optimized SE-ResNet152 model in Pap Smear Whole Slide Images. International journal of electrical and computer engineering systems 14 6 (2023) 613\u2013623.","DOI":"10.32985\/ijeces.14.6.1"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"Xiaoyue Chen Xiaowen Pu Zhirou Chen Lanzhen Li Kong-Nan Zhao Haichun Liu and Haiyan Zhu. 2023. Application of EfficientNet-B0 and GRU-based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions. Cancer Medicine 12 7 (2023) 8690\u20138699.","DOI":"10.1002\/cam4.5581"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"crossref","unstructured":"Bhaswati\u00a0Singha Deo Mayukha Pal Prasanta\u00a0K Panigrahi and Asima Pradhan. 2024. CerviFormer: A pap smear-based cervical cancer classification method using cross-attention and latent transformer. International Journal of Imaging Systems and Technology 34 2 (2024) e23043.","DOI":"10.1002\/ima.23043"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"crossref","unstructured":"Devikanniga Devarajan D\u00a0Stalin Alex TR Mahesh V\u00a0Vinoth Kumar Rajanikanth Aluvalu V\u00a0Uma Maheswari and S Shitharth. 2022. Cervical cancer diagnosis using intelligent living behavior of artificial jellyfish optimized with artificial neural network. IEEE Access 10 (2022) 126957\u2013126968.","DOI":"10.1109\/ACCESS.2022.3221451"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"P Elayaraja S Kumarganesh K Martin\u00a0Sagayam Hien Dang and Marc Pomplun. 2022. An efficient approach for detection and classification of cancer regions in cervical images using optimization based CNN classification approach. Journal of Intelligent & Fuzzy Systems 43 1 (2022) 1023\u20131033.","DOI":"10.3233\/JIFS-212871"},{"key":"e_1_3_3_1_11_2","unstructured":"Nur\u00a0Mohammad Fahad Sami Azam Sidratul Montaha and Md\u00a0Saddam\u00a0Hossain Mukta. 2024. Enhancing cervical cancer diagnosis with graph convolution network: AI-powered segmentation feature analysis and classification for early detection. Multimedia Tools and Applications (2024) 1\u201325."},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"crossref","unstructured":"Hilman Fauzi Revydo\u00a0Bima Ansori Thomhert Siadari Ali\u00a0Budi Harsono and Qisthi\u00a0Nur Rahmah. 2023. Classification of Cervical Cancer Images Using Deep Residual Network Architecture. International Journal of Artificial Intelligence Research 7 1 (2023) 56\u201363.","DOI":"10.29099\/ijair.v7i1.955"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"crossref","unstructured":"Aya Haraz Hossam El-Din Moustafa Abeer\u00a0Twakol Khaleel and Ahmed\u00a0H Eltanboly. 2023. Deep Learning-Based Technique for The Perception of The Cervical Cancer. Mansoura Engineering Journal 48 3 (2023) 3.","DOI":"10.58491\/2735-4202.3043"},{"key":"e_1_3_3_1_14_2","first-page":"134","volume-title":"2022 International Conference on Electronic Systems and Intelligent Computing (ICESIC)","author":"Hemalatha K","year":"2022","unstructured":"K Hemalatha and V Vetriselvi. 2022. Deep Learning based classification of cervical cancer using transfer learning. In 2022 International Conference on Electronic Systems and Intelligent Computing (ICESIC). IEEE, 134\u2013139."},{"key":"e_1_3_3_1_15_2","unstructured":"S Janani and D\u00a0Francis\u00a0Xavier Christopher. 2024. Deep Neural Network using Hadoop for Cervical Cell Classification. International Explore Journal of Computer Science and Applications 2 10 (2024) 18\u201324."},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Jisoo Kim Chul\u00a0Min Park Sung\u00a0Yeob Kim and Angela Cho. 2022. Convolutional neural network-based classification of cervical intraepithelial neoplasias using colposcopic image segmentation for acetowhite epithelium. Scientific Reports 12 1 (2022) 17228.","DOI":"10.1038\/s41598-022-21692-5"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"Micha\u0142 Kruczkowski Anna Drabik-Kruczkowska Anna Marciniak Martyna Tarczewska Monika Kosowska and Ma\u0142gorzata Szczerska. 2022. Predictions of cervical cancer identification by photonic method combined with machine learning. Scientific Reports 12 1 (2022) 3762.","DOI":"10.1038\/s41598-022-07723-1"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"Yuki Kurita Shiori Meguro Naoko Tsuyama Isao Kosugi Yasunori Enomoto Hideya Kawasaki Takashi Uemura Michio Kimura and Toshihide Iwashita. 2023. Accurate deep learning model using semi-supervised learning and Noisy Student for cervical cancer screening in low magnification images. Plos one 18 5 (2023) e0285996.","DOI":"10.1371\/journal.pone.0285996"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"crossref","unstructured":"Xueguang Li Mingyue Du Shanru Zuo Mingqing Zhou Qiyao Peng Ziyao Chen Junhua Zhou and Quanyuan He. 2023. Deep convolutional neural networks using an active learning strategy for cervical cancer screening and diagnosis. Frontiers in Bioinformatics 3 (2023) 1101667.","DOI":"10.3389\/fbinf.2023.1101667"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"crossref","unstructured":"Gaurav Meena Krishna\u00a0Kumar Mohbey Sunil Kumar Rahul\u00a0Kumar Chawda and Sandeep\u00a0V Gaikwad. 2023. Image-based sentiment analysis using InceptionV3 transfer learning approach. SN Computer Science 4 3 (2023) 242.","DOI":"10.1007\/s42979-023-01695-3"},{"key":"e_1_3_3_1_21_2","unstructured":"Mohamed\u00a0K Nour Im\u00e8ne Issaoui Alaa Edris Ahmed Mahmud Mohammed Assiri and Sara\u00a0Saadeldeen Ibrahim. 2024. Computer Aided Cervical Cancer Diagnosis using Gazelle Optimization Algorithm with Deep Learning Model. IEEE Access (2024)."},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"crossref","unstructured":"Ishak Pacal and Serhat K\u0131l\u0131carslan. 2023. Deep learning-based approaches for robust classification of cervical cancer. Neural Computing and Applications 35 25 (2023) 18813\u201318828.","DOI":"10.1007\/s00521-023-08757-w"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"crossref","unstructured":"Mahmudur Rahman Jakir Khan Abu Sale Mohammad\u00a0Mostafizur Rahman Redoanul Haque Md\u00a0Sumon Ali et\u00a0al. 2023. A Critical Analysis of Machine Learning and Deep Learning Methods for Cervical Cancer Screening. Journal of Computer and Communications 11 12 (2023) 64\u201385.","DOI":"10.4236\/jcc.2023.1112005"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"crossref","unstructured":"Le Yang Shuang Xu XiaoYun Yu HuiBin Long HuanHuan Zhang and YingWen Zhu. 2023. A new model based on improved VGG16 for corn weed identification. Frontiers in Plant Science 14 (2023) 1205151.","DOI":"10.3389\/fpls.2023.1205151"},{"key":"e_1_3_3_1_25_2","unstructured":"NINA YOUNESZADE MOHSEN MARJANI and DALIA\u00a0ABDULKAREEM SHAFIQ. 2024. EXPLORING THE IMPACT OF INCREASING THE NUMBER OF CLASSES ON THE PERFORMANCE OF CERVICAL CANCER DETECTION MODELS USING DEEP LEARNING AND COLPOSCOPY. Journal of Engineering Science and Technology 19 2 (2024) 629\u2013647."},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"crossref","unstructured":"Yang Zhang Yan-Lin Liu Ke Nie Jiejie Zhou Zhongwei Chen Jeon-Hor Chen Xiao Wang Bomi Kim Ritesh Parajuli Rita\u00a0S Mehta et\u00a0al. 2023. Deep learning-based automatic diagnosis of breast cancer on MRI using mask R-CNN for detection followed by ResNet50 for classification. Academic radiology 30 (2023) S161\u2013S171.","DOI":"10.1016\/j.acra.2022.12.038"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"crossref","unstructured":"Xin Zhao Xueyuan Wang Bohao Zhang Xianglong Liu Desheng Xuan Yuwei Xia and Xiaoan Zhang. 2022. Classifying early stages of cervical cancer with MRI-based radiomics. Magnetic Resonance Imaging 89 (2022) 70\u201376.","DOI":"10.1016\/j.mri.2022.03.002"}],"event":{"name":"ICCA 2024: 3rd International Conference on Computing Advancements","acronym":"ICCA 2024","location":"Dhaka Bangladesh"},"container-title":["Proceedings of the 3rd International Conference on Computing Advancements"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3723178.3723187","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3723178.3723187","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:56:46Z","timestamp":1750298206000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3723178.3723187"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,17]]},"references-count":26,"alternative-id":["10.1145\/3723178.3723187","10.1145\/3723178"],"URL":"https:\/\/doi.org\/10.1145\/3723178.3723187","relation":{},"subject":[],"published":{"date-parts":[[2024,10,17]]},"assertion":[{"value":"2025-06-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}