{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T12:25:07Z","timestamp":1764937507125,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,11,22]],"date-time":"2022-11-22T00:00:00Z","timestamp":1669075200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,11,22]]},"DOI":"10.1145\/3568231.3568243","type":"proceedings-article","created":{"date-parts":[[2023,1,14]],"date-time":"2023-01-14T07:18:36Z","timestamp":1673680716000},"page":"72-78","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["CNN Based Transfer Learning for Malaria Parasite Detection Using Thin-Blood Smear Images"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4210-7001","authenticated-orcid":false,"given":"Windra","family":"Swastika","sequence":"first","affiliation":[{"name":"Research Center for Artificial Intelligence on Digital Images & Technopreneurship, Universitas Ma Chung, Indonesia)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9909-0493","authenticated-orcid":false,"given":"Benedictus Julian","family":"Pradana","sequence":"additional","affiliation":[{"name":"Universitas Ma Chung, Indonesia)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1457-6839","authenticated-orcid":false,"given":"Romy Budhi","family":"Widodo","sequence":"additional","affiliation":[{"name":"Universitas Ma Chung, Indonesia)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8804-9199","authenticated-orcid":false,"given":"Rehmadanta","family":"Sitepu","sequence":"additional","affiliation":[{"name":"Universitas Ma Chung, Indonesia)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1192-9611","authenticated-orcid":false,"given":"Gregorius Guntur Sunardi","family":"Putra","sequence":"additional","affiliation":[{"name":"Universitas Ma Chung, Indonesia)"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,1,13]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"2021 6th International Conference on Communication and Electronics Systems (ICCES), IEEE, Tamil Nadu, 1780\u20131786","author":"Rashmi","year":"2021","unstructured":"Rashmi Nayak S and Manohar N . 2021. Computer-Vision based Face Mask Detection using CNN . In 2021 6th International Conference on Communication and Electronics Systems (ICCES), IEEE, Tamil Nadu, 1780\u20131786 . DOI:https:\/\/doi.org\/10.1109\/ICCES51350. 2021 .9489098 10.1109\/ICCES51350.2021.9489098 Rashmi Nayak S and Manohar N. 2021. Computer-Vision based Face Mask Detection using CNN. In 2021 6th International Conference on Communication and Electronics Systems (ICCES), IEEE, Tamil Nadu, 1780\u20131786. DOI:https:\/\/doi.org\/10.1109\/ICCES51350.2021.9489098"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01424-7_27"},{"volume-title":"Data Science for COVID-19","author":"Sahinbas Kevser","key":"e_1_3_2_1_3_1","unstructured":"Kevser Sahinbas and Ferhat Ozgur Catak . 2021. Transfer learning-based convolutional neural network for COVID-19 detection with X-ray images . In Data Science for COVID-19 . Elsevier , 451\u2013466. DOI:https:\/\/doi.org\/10.1016\/B978-0-12-824536-1.00003-4 10.1016\/B978-0-12-824536-1.00003-4 Kevser Sahinbas and Ferhat Ozgur Catak. 2021. Transfer learning-based convolutional neural network for COVID-19 detection with X-ray images. In Data Science for COVID-19. Elsevier, 451\u2013466. DOI:https:\/\/doi.org\/10.1016\/B978-0-12-824536-1.00003-4"},{"key":"e_1_3_2_1_4_1","volume-title":"Sabyasachi Biswas, Md Ashraful Alam, Nabila Binte Alam, and M. R. C. Mahdy.","author":"Rahman Aimon","year":"2019","unstructured":"Aimon Rahman , Hasib Zunair , M Sohel Rahman , Jesia Quader Yuki , Sabyasachi Biswas, Md Ashraful Alam, Nabila Binte Alam, and M. R. C. Mahdy. 2019 . Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks . (July 2019). Aimon Rahman, Hasib Zunair, M Sohel Rahman, Jesia Quader Yuki, Sabyasachi Biswas, Md Ashraful Alam, Nabila Binte Alam, and M. R. C. Mahdy. 2019. Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks. (July 2019)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSP.2019.8697909"},{"key":"e_1_3_2_1_6_1","volume-title":"Vinit Kumar Gunjan, and Sayan Kahali","author":"Jameela Tayyaba","year":"2022","unstructured":"Tayyaba Jameela , Kavitha Athotha , Ninni Singh , Vinit Kumar Gunjan, and Sayan Kahali . 2022 . Deep Learning and Transfer Learning for Malaria Detection. Comput Intell Neurosci 2022, (2022), 2221728. DOI:https:\/\/doi.org\/10.1155\/2022\/2221728 10.1155\/2022 Tayyaba Jameela, Kavitha Athotha, Ninni Singh, Vinit Kumar Gunjan, and Sayan Kahali. 2022. Deep Learning and Transfer Learning for Malaria Detection. Comput Intell Neurosci 2022, (2022), 2221728. DOI:https:\/\/doi.org\/10.1155\/2022\/2221728"},{"volume-title":"Mathlab Deep Learning. CA","author":"Kim P","key":"e_1_3_2_1_7_1","unstructured":"P Kim . 2017. Convolutional neural networks . In Mathlab Deep Learning. CA : Apress , Berkeley , 121\u2013147. P Kim. 2017. Convolutional neural networks. In Mathlab Deep Learning. CA: Apress, Berkeley, 121\u2013147."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0276-2"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622141"},{"key":"e_1_3_2_1_10_1","volume-title":"Mostafa Tavakkoli, Nikta Amiri, Yongchao Yang, M. Amin Karami, and Rahul Rai.","author":"Yang Ruoyu","year":"2020","unstructured":"Ruoyu Yang , Shubhendu Kumar Singh , Mostafa Tavakkoli, Nikta Amiri, Yongchao Yang, M. Amin Karami, and Rahul Rai. 2020 . CNN-LSTM deep learning architecture for computer vision-based modal frequency detection. Mech Syst Signal Process 144, (October 2020), 106885. DOI:https:\/\/doi.org\/10.1016\/j.ymssp.2020.106885 10.1016\/j.ymssp.2020.106885 Ruoyu Yang, Shubhendu Kumar Singh, Mostafa Tavakkoli, Nikta Amiri, Yongchao Yang, M. Amin Karami, and Rahul Rai. 2020. CNN-LSTM deep learning architecture for computer vision-based modal frequency detection. Mech Syst Signal Process 144, (October 2020), 106885. DOI:https:\/\/doi.org\/10.1016\/j.ymssp.2020.106885"},{"key":"e_1_3_2_1_11_1","volume-title":"Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 770\u2013778","author":"He Kaiming","year":"2016","unstructured":"Kaiming He , Xiangyu Zhang , Shaoqing Ren , and Jian Sun . 2016 . Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 770\u2013778 . DOI:https:\/\/doi.org\/10.1109\/CVPR.2016.90 10.1109\/CVPR.2016.90 Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 770\u2013778. DOI:https:\/\/doi.org\/10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2021.018606"},{"key":"e_1_3_2_1_13_1","volume-title":"EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. International Conference on Machine Learning (May","author":"Tan Mingxing","year":"2019","unstructured":"Mingxing Tan and Quoc v. Le . 2019 . EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. International Conference on Machine Learning (May 2019). Mingxing Tan and Quoc v. Le. 2019. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. International Conference on Machine Learning (May 2019)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIT52682.2021.9491776"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"e_1_3_2_1_16_1","volume-title":"Henry Novianus Palit, and Alvin Nathaniel Tjondrowiguno","author":"Pangkasidhi Ananta Kusuma","year":"2021","unstructured":"Ananta Kusuma Pangkasidhi , Henry Novianus Palit, and Alvin Nathaniel Tjondrowiguno . 2021 . Aplikasi Pendukung Diagnosis COVID-19 yang Menganalisis Hasil X-Ray Paru-paru dengan Model EfficientNet . INFRA 9, 2 (2021) Ananta Kusuma Pangkasidhi, Henry Novianus Palit, and Alvin Nathaniel Tjondrowiguno. 2021. Aplikasi Pendukung Diagnosis COVID-19 yang Menganalisis Hasil X-Ray Paru-paru dengan Model EfficientNet . INFRA 9, 2 (2021)"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Gusrifaris Yuda Alhafis Jasril Jasril Suwanto Sanjaya Fadhilah Syafria and Elvia Budianita. 2022. Klasifikasi Citra Daging Sapi dan Daging Babi Menggunakan Ekstraksi Ciri dan Convolutional Neural Network. JURIKOM: Jurnal Riset Komputer 9 3 (2022)  Gusrifaris Yuda Alhafis Jasril Jasril Suwanto Sanjaya Fadhilah Syafria and Elvia Budianita. 2022. Klasifikasi Citra Daging Sapi dan Daging Babi Menggunakan Ekstraksi Ciri dan Convolutional Neural Network. JURIKOM: Jurnal Riset Komputer 9 3 (2022)","DOI":"10.30865\/jurikom.v9i3.4175"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.14421\/ijid.2020.09207"},{"key":"e_1_3_2_1_19_1","volume-title":"Rethinking the Inception Architecture for Computer Vision. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2818\u20132826","author":"Szegedy Christian","year":"2016","unstructured":"Christian Szegedy , Vincent Vanhoucke , Sergey Ioffe , Jon Shlens , and Zbigniew Wojna . 2016 . Rethinking the Inception Architecture for Computer Vision. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2818\u20132826 . DOI:https:\/\/doi.org\/10.1109\/CVPR.2016.308 10.1109\/CVPR.2016.308 Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna. 2016. Rethinking the Inception Architecture for Computer Vision. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2818\u20132826. DOI:https:\/\/doi.org\/10.1109\/CVPR.2016.308"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics10100744"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2946000"},{"key":"e_1_3_2_1_22_1","volume-title":"Thoma","author":"Rajaraman Sivaramakrishnan","year":"2018","unstructured":"Sivaramakrishnan Rajaraman , Sameer K. Antani , Mahdieh Poostchi , Kamolrat Silamut , Md. A. Hossain , Richard J. Maude , Stefan Jaeger , and George R . Thoma . 2018 . Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images. PeerJ 6, (April 2018), e4568. DOI:https:\/\/doi.org\/10.7717\/peerj.4568 10.7717\/peerj.4568 Sivaramakrishnan Rajaraman, Sameer K. Antani, Mahdieh Poostchi, Kamolrat Silamut, Md. A. Hossain, Richard J. Maude, Stefan Jaeger, and George R. Thoma. 2018. Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images. PeerJ 6, (April 2018), e4568. DOI:https:\/\/doi.org\/10.7717\/peerj.4568"}],"event":{"name":"SIET '22: 7th International Conference on Sustainable Information Engineering and Technology 2022","acronym":"SIET '22","location":"Malang Indonesia"},"container-title":["7th International Conference on Sustainable Information Engineering and Technology 2022"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3568231.3568243","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3568231.3568243","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:08:43Z","timestamp":1750183723000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3568231.3568243"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,22]]},"references-count":22,"alternative-id":["10.1145\/3568231.3568243","10.1145\/3568231"],"URL":"https:\/\/doi.org\/10.1145\/3568231.3568243","relation":{},"subject":[],"published":{"date-parts":[[2022,11,22]]},"assertion":[{"value":"2023-01-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}