{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T19:20:08Z","timestamp":1742930408022,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031777851"},{"type":"electronic","value":"9783031777868"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-77786-8_7","type":"book-chapter","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T11:08:42Z","timestamp":1737025722000},"page":"66-75","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Lymphoid Infiltration Assessment of\u00a0the\u00a0Tumor Margins in\u00a0H&amp;E Slides"],"prefix":"10.1007","author":[{"given":"Zhuxian","family":"Guo","sequence":"first","affiliation":[]},{"given":"Amine","family":"Marzouki","sequence":"additional","affiliation":[]},{"given":"Jean-Fran\u00e7ois","family":"Emile","sequence":"additional","affiliation":[]},{"given":"Henning","family":"M\u00fcller","sequence":"additional","affiliation":[]},{"given":"Camille","family":"Kurtz","sequence":"additional","affiliation":[]},{"given":"Nicolas","family":"Lom\u00e9nie","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,1,17]]},"reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Lu, M.Y., et\u00a0al.: Data-efficient and weakly supervised computational pathology on whole-slide images. Nat. Biomed. Eng. 5(6), 555\u2013570 (2021)","DOI":"10.1038\/s41551-020-00682-w"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Allard, M.A., et al.: Linear quantification of lymphoid infiltration of the tumor margin: a reproducible method, developed with colorectal cancer tissues for assessing a highly variable prognostic factor. Diagn. Pathol. 7(156) (2012)","DOI":"10.1186\/1746-1596-7-156"},{"key":"7_CR3","unstructured":"Amgad, M., Atteya, L.A., Hussein, H., Elfandy, H., Cooper, L.A.D.: NuCLS: a scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation. CoRR abs\/2102.09099 (2021)"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Djiro, T.A., Kurtz, C., Lom\u00e9nie, N.: Assessment of anti-tumor immune response in colorectal carcinomas from whole slide images. In: ICIAR, pp. 579\u2013588 (2018)","DOI":"10.1007\/978-3-319-93000-8_66"},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Gallois, C., Emile, J.F., Lomenie, N., Kurtz, C., Taieb, J., Tougeron, D.: Pembrolizumab with capox bevacizumab in patients with microsatellite stable metastatic colorectal cancer and a high immune infiltrate: the FFCD 1703-POCHI trial. Dig. Liver Dis. 53(10), 1254\u20131259 (2021)","DOI":"10.1016\/j.dld.2021.06.009"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Ghahremani, P., et al.: An AI-ready multiplex staining dataset for reproducible and accurate characterization of tumor immune microenvironment. In: MICCAI, pp. 704\u2013713 (2023)","DOI":"10.1007\/978-3-031-43987-2_68"},{"issue":"1","key":"7_CR7","doi-asserted-by":"publisher","first-page":"29","DOI":"10.4103\/2153-3539.186902","volume":"7","author":"A Janowczyk","year":"2016","unstructured":"Janowczyk, A., Madabhushi, A.: Deep learning for digital pathology image analysis: a comprehensive tutorial with selected use cases. J. Pathol. Info. 7(1), 29 (2016)","journal-title":"J. Pathol. Info."},{"issue":"2","key":"7_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2023.100688","volume":"4","author":"D Komura","year":"2023","unstructured":"Komura, D., et al.: Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists. Patterns 4(2), 100688 (2023)","journal-title":"Patterns"},{"key":"7_CR9","unstructured":"Liu, L., et al.: On the variance of the adaptive learning rate and beyond. In: ICLR (2020)"},{"issue":"9","key":"7_CR10","doi-asserted-by":"publisher","first-page":"1395","DOI":"10.1093\/bioinformatics\/btw013","volume":"32","author":"R Mar\u00e9e","year":"2016","unstructured":"Mar\u00e9e, R., et al.: Collaborative analysis of multi-gigapixel imaging data using Cytomine. Bioinformatics 32(9), 1395\u20131401 (2016)","journal-title":"Bioinformatics"},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: MICCAI, pp. 234\u2013241 (2015)","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"7_CR12","first-page":"291","volume":"23","author":"AC Ruifrok","year":"2001","unstructured":"Ruifrok, A.C., Johnston, D.A.: Quantification of histochemical staining by color deconvolution. Anal. Quant. Cytol. Histol. 23, 291\u2013301 (2001)","journal-title":"Anal. Quant. Cytol. Histol."},{"key":"7_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109131","volume":"135","author":"X Yu","year":"2023","unstructured":"Yu, X., Wang, J., Zhao, Y., Gao, Y.: Mix-ViT: mixing attentive vision transformer for ultra-fine-grained visual categorization. Pattern Recogn. 135, 109131 (2023)","journal-title":"Pattern Recogn."}],"container-title":["Lecture Notes in Computer Science","Medical Optical Imaging and Virtual Microscopy Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-77786-8_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T11:08:48Z","timestamp":1737025728000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-77786-8_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031777851","9783031777868"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-77786-8_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"17 January 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MOVI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marrakesh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","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":"10 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"movi2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.google.com\/view\/movi2024","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}