{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T21:15:04Z","timestamp":1775510104249,"version":"3.50.1"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031632105","type":"print"},{"value":"9783031632112","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-63211-2_20","type":"book-chapter","created":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T14:02:22Z","timestamp":1718892142000},"page":"255-267","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Vision Transformer Based Tokenization for\u00a0Enhanced Breast Cancer Histopathological Images Classification"],"prefix":"10.1007","author":[{"given":"Mouhamed Laid","family":"Abimouloud","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khaled","family":"Bensid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Elleuch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oussama","family":"Aiadi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Monji","family":"Kherallah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,6,21]]},"reference":[{"issue":"2","key":"20_CR1","doi-asserted-by":"publisher","first-page":"178","DOI":"10.3390\/diagnostics13020178","volume":"13","author":"G Ayana","year":"2023","unstructured":"Ayana, G., et al.: Vision-transformer-based transfer learning for mammogram classification. Diagnostics 13(2), 178 (2023)","journal-title":"Diagnostics"},{"key":"20_CR2","unstructured":"Dosovitskiy, A., et\u00a0al.: An image is worth $$16\\times 16$$ words: transformers for image recognition at scale. arXiv preprint: arXiv:2010.11929 (2020)"},{"key":"20_CR3","unstructured":"Hassani, A., Walton, S., Shah, N., Abuduweili, A., Li, J., Shi, H.: Escaping the big data paradigm with compact transformers. arXiv preprint: arXiv:2104.05704 (2021)"},{"key":"20_CR4","unstructured":"Henry, E.U., Emebob, O., Omonhinmin, C.A.: Vision transformers in medical imaging: a review. arXiv preprint: arXiv:2211.10043 (2022)"},{"issue":"7","key":"20_CR5","doi-asserted-by":"publisher","first-page":"5200","DOI":"10.1002\/jcp.26379","volume":"233","author":"SH Jafari","year":"2018","unstructured":"Jafari, S.H., et al.: Breast cancer diagnosis: imaging techniques and biochemical markers. J. Cell. Physiol. 233(7), 5200\u20135213 (2018)","journal-title":"J. Cell. Physiol."},{"key":"20_CR6","unstructured":"Matsoukas, C., Haslum, J.F., S\u00f6derberg, M., Smith, K.: Is it time to replace CNNs with transformers for medical images? arXiv preprint: arXiv:2108.09038 (2021)"},{"key":"20_CR7","unstructured":"Mehta, S., Rastegari, M.: Mobilevit: light-weight, general-purpose, and mobile-friendly vision transformer. arXiv preprint: arXiv:2110.02178 (2021)"},{"key":"20_CR8","first-page":"12786","volume":"34","author":"M Ryoo","year":"2021","unstructured":"Ryoo, M., Piergiovanni, A.J., Arnab, A., Dehghani, M., Angelova, A.: Tokenlearner: adaptive space-time tokenization for videos. Adv. Neural. Inf. Process. Syst. 34, 12786\u201312797 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"7","key":"20_CR9","doi-asserted-by":"publisher","first-page":"1455","DOI":"10.1109\/TBME.2015.2496264","volume":"63","author":"FA Spanhol","year":"2015","unstructured":"Spanhol, F.A., Oliveira, L.S., Petitjean, C., Heutte, L.: A dataset for breast cancer histopathological image classification. IEEE Trans. Biomed. Eng. 63(7), 1455\u20131462 (2015)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"20_CR10","doi-asserted-by":"publisher","unstructured":"Sriwastawa, A., Arul\u00a0Jothi, J.A.: Vision transformer-convolution for breast cancer classification using mammography images: A comparative study. Int. J. Hybrid Intell. Syst. (2023). https:\/\/doi.org\/10.3233\/HIS-240002.","DOI":"10.3233\/HIS-240002."},{"issue":"3","key":"20_CR11","doi-asserted-by":"publisher","first-page":"209","DOI":"10.3322\/caac.21660","volume":"71","author":"H Sung","year":"2021","unstructured":"Sung, H., et al.: Global cancer statistics 2020: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. Cancer J. Clin. 71(3), 209\u2013249 (2021)","journal-title":"Cancer J. Clin."},{"key":"20_CR12","doi-asserted-by":"crossref","unstructured":"Vikranth, C.S., Jagadeesh, B., Rakesh, K., Mohammad, D., Krishna, S., Remya\u00a0Ajai, A.S.: Computer assisted diagnosis of breast cancer using histopathology images and convolutional neural networks. In: 2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP), pp.1\u20136. IEEE (2022)","DOI":"10.1109\/AISP53593.2022.9760669"},{"key":"20_CR13","doi-asserted-by":"publisher","first-page":"1277","DOI":"10.1007\/s12553-021-00592-0","volume":"11","author":"ET Zewdie","year":"2021","unstructured":"Zewdie, E.T., Tessema, A.W., Simegn, G.L.: Classification of breast cancer types, sub-types and grade from histopathological images using deep learning technique. Health Technol. 11, 1277\u20131290 (2021)","journal-title":"Health Technol."},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Zhu, X., Cheng, D., Zhang, Z., Lin, S., Dai, J.: An empirical study of spatial attention mechanisms in deep networks. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 6688\u20136697 (2019)","DOI":"10.1109\/ICCV.2019.00679"}],"container-title":["IFIP Advances in Information and Communication Technology","Artificial Intelligence Applications and Innovations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-63211-2_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T14:03:46Z","timestamp":1718892226000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-63211-2_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031632105","9783031632112"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-63211-2_20","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"value":"1868-4238","type":"print"},{"value":"1868-422X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"21 June 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Artificial Intelligence Applications and Innovations","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Corfu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ifipaiai.org\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}