{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T19:40:06Z","timestamp":1755891606591,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T00:00:00Z","timestamp":1683849600000},"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":[[2023,5,12]]},"DOI":"10.1145\/3608298.3608350","type":"proceedings-article","created":{"date-parts":[[2023,10,18]],"date-time":"2023-10-18T10:58:26Z","timestamp":1697626706000},"page":"280-286","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Identification of Acute Lymphoblastic Leukemia Subtypes on a Microscopic Image of Multicellular Blood Using Object Detection Model with Swin Transformer"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4009-6222","authenticated-orcid":false,"given":"Tanzilal","family":"Mustaqim","sequence":"first","affiliation":[{"name":"Department of Informatics, Institut Teknologi Sepuluh Nopember Surabaya, Indonesia, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7348-9762","authenticated-orcid":false,"given":"Chastine","family":"Fatichah","sequence":"additional","affiliation":[{"name":"Department of Informatics, Institut Teknologi Sepuluh Nopember Surabaya, Indonesia, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1991-0464","authenticated-orcid":false,"given":"Nanik","family":"Suciati","sequence":"additional","affiliation":[{"name":"Department of Informatics, Institut Teknologi Sepuluh Nopember Surabaya, Indonesia, Indonesia"}]}],"member":"320","published-online":{"date-parts":[[2023,10,18]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","unstructured":"Yan Lu Xuejun Qin Haoyi Fan Taotao Lai and Zuoyong Li. 2021. WBC-Net: A white blood cell segmentation network based on UNet++ and ResNet. Appl. Soft Comput. 101 (2021) 107006. DOI:https:\/\/doi.org\/10.1016\/j.asoc.2020.107006","DOI":"10.1016\/j.asoc.2020.107006"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2017.11.002"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/SCOReD50371.2020.9251000"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","unstructured":"Laura Bold\u00fa Anna Merino Andrea Acevedo Angel Molina and Jos\u00e9 Rodellar. 2021. A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images. Comput. Methods Programs Biomed. 202 (2021). DOI:https:\/\/doi.org\/10.1016\/j.cmpb.2021.105999","DOI":"10.1016\/j.cmpb.2021.105999"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2019.01.005"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering7040120"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3048172"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3114059"},{"key":"e_1_3_2_1_9_1","volume-title":"YOLOv3: An Incremental Improvement. arXiv","author":"Redmon Joseph","year":"2018","unstructured":"Joseph Redmon and Ali Farhadi. 2018. YOLOv3: An Incremental Improvement. arXiv (2018). Retrieved from http:\/\/arxiv.org\/abs\/1804.02767"},{"key":"e_1_3_2_1_10_1","volume-title":"YOLOv4: Optimal Speed and Accuracy of Object Detection. arXiv","author":"Bochkovskiy Alexey","year":"2020","unstructured":"Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao. 2020. YOLOv4: Optimal Speed and Accuracy of Object Detection. arXiv (2020). Retrieved from http:\/\/arxiv.org\/abs\/2004.10934"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.102690"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.15294\/sji.v9i2.37350"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117148"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/EHB47216.2019.8970033"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/1359019"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.3390\/s22093272"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICVRV51359.2020.00024"},{"key":"e_1_3_2_1_19_1","unstructured":"Aldinata Rizky Revanda Chastine Fatichah and Nanik Suciati. 2022. Classification of Acute Lymphoblastic Leukemia on White Blood Cell Microscopy Images Based on Instance Segmentation Using Mask R-CNN. (2022)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.3390\/math10214109"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","unstructured":"Ruina Sun and Yuexin Pang. 2022. Efficient Lung Cancer Image Classification and Segmentation Algorithm Based on Improved Swin Transformer. (2022) 1\u201315. DOI:https:\/\/doi.org\/10.48550\/arXiv.2207.01527","DOI":"10.48550\/arXiv.2207.01527"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119452"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477624"}],"event":{"name":"ICMHI 2023: 2023 the 7th International Conference on Medical and Health Informatics","acronym":"ICMHI 2023","location":"Kyoto Japan"},"container-title":["2023 the 7th International Conference on Medical and Health Informatics (ICMHI)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3608298.3608350","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3608298.3608350","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T19:03:05Z","timestamp":1755889385000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3608298.3608350"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,12]]},"references-count":24,"alternative-id":["10.1145\/3608298.3608350","10.1145\/3608298"],"URL":"https:\/\/doi.org\/10.1145\/3608298.3608350","relation":{},"subject":[],"published":{"date-parts":[[2023,5,12]]},"assertion":[{"value":"2023-10-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}