{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T16:16:35Z","timestamp":1781280995024,"version":"3.54.1"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032113160","type":"print"},{"value":"9783032113177","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-11317-7_16","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T02:54:31Z","timestamp":1767322471000},"page":"187-198","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Generalized Gray Level Co-occurrence Matrix for Rotation-Invariant Texture Detection in Radiomics"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-8176-9021","authenticated-orcid":false,"given":"Haoyue","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9123-4977","authenticated-orcid":false,"given":"Rosario","family":"Corso","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9290-6103","authenticated-orcid":false,"given":"Albert","family":"Comelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3771-4889","authenticated-orcid":false,"given":"Anthony","family":"Yezzi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"16_CR1","doi-asserted-by":"publisher","unstructured":"Ali, M., et\u00a0al.: Prostate cancer detection: performance of radiomics analysis in multiparametric MRI. In: Image Analysis and Processing \u2013 ICIAP 2023 Workshops, Proceedings, Part II, vol. 14224, pp. 83\u201392 (2023). https:\/\/doi.org\/10.1007\/978-3-031-51026-7_8","DOI":"10.1007\/978-3-031-51026-7_8"},{"key":"16_CR2","doi-asserted-by":"publisher","unstructured":"Bickle, I.: Normal CT brain - pediatric. Radiopaedia.org (2017). https:\/\/doi.org\/10.53347\/rID-53337, https:\/\/radiopaedia.org\/cases\/53337, case study, Radiopaedia.org. (Accessed 21 Jan 2025)","DOI":"10.53347\/rID-53337"},{"issue":"2","key":"16_CR3","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1148\/radiol.2015151169","volume":"278","author":"RJ Gillies","year":"2016","unstructured":"Gillies, R.J., Kinahan, P.E., Hricak, H.: Radiomics: images are more than pictures, they are data. Radiology 278(2), 563\u2013577 (2016). https:\/\/doi.org\/10.1148\/radiol.2015151169","journal-title":"Radiology"},{"key":"16_CR4","doi-asserted-by":"publisher","unstructured":"Haralick, R.M., Shanmugam, K., Dinstein, I.: Textural features for image classification. IEEE Trans. Syst. Man Cybern. SMC-3(6), 610\u2013621 (1973). https:\/\/doi.org\/10.1109\/TSMC.1973.4309314","DOI":"10.1109\/TSMC.1973.4309314"},{"key":"16_CR5","doi-asserted-by":"publisher","unstructured":"Haralick, R.M., Shanmugam, K., Dinstein, I.: Textural features for image classification. IEEE Trans. Syst. Man Cybern. SMC-3(6), 610\u2013621 (1973). https:\/\/doi.org\/10.1109\/TSMC.1973.4309314","DOI":"10.1109\/TSMC.1973.4309314"},{"issue":"5","key":"16_CR6","doi-asserted-by":"publisher","first-page":"809","DOI":"10.3174\/ajnr.A2061","volume":"31","author":"A Kassner","year":"2010","unstructured":"Kassner, A., Thornhill, R.E.: Texture analysis: a review of neurologic MR imaging applications. AJNR Am. J. Neuroradiol. 31(5), 809\u2013816 (2010). https:\/\/doi.org\/10.3174\/ajnr.A2061","journal-title":"AJNR Am. J. Neuroradiol."},{"issue":"9","key":"16_CR7","doi-asserted-by":"publisher","first-page":"1234","DOI":"10.1016\/j.mri.2012.06.010","volume":"30","author":"V Kumar","year":"2012","unstructured":"Kumar, V., Gu, Y., Basu, S., et al.: Radiomics: the process and the challenges. Magn. Reson. Imaging 30(9), 1234\u20131248 (2012). https:\/\/doi.org\/10.1016\/j.mri.2012.06.010","journal-title":"Magn. Reson. Imaging"},{"issue":"4","key":"16_CR8","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/j.ejca.2011.11.036","volume":"48","author":"P Lambin","year":"2012","unstructured":"Lambin, P., et al.: Radiomics: extracting more information from medical images using advanced feature analysis. Eur. J. Cancer 48(4), 441\u2013446 (2012). https:\/\/doi.org\/10.1016\/j.ejca.2011.11.036","journal-title":"Eur. J. Cancer"},{"key":"16_CR9","doi-asserted-by":"crossref","unstructured":"Ojala, T., Pietik\u00e4inen, M., Harwood, D.: A comparative study of texture measures with classification based on featured distributions. Pattern Recogn. 29(1), 51\u201359 (1996)","DOI":"10.1016\/0031-3203(95)00067-4"},{"issue":"5","key":"16_CR10","doi-asserted-by":"publisher","first-page":"1316","DOI":"10.1002\/jmri.25881","volume":"47","author":"A Peuna","year":"2018","unstructured":"Peuna, A., Hekkala, J., Haapea, M., et al.: Variable angle GLCM analysis of T2 maps reveals degenerative changes in knee osteoarthritis. J. Magn. Reson. Imaging 47(5), 1316\u20131327 (2018). https:\/\/doi.org\/10.1002\/jmri.25881","journal-title":"J. Magn. Reson. Imaging"},{"key":"16_CR11","unstructured":"Radiomics: Gray level co-occurrence matrix (GLCM) features (nd). https:\/\/pyradiomics.readthedocs.io\/en\/latest\/features.html#module-radiomics.glcm. Accessed 3 Dec 2024"},{"key":"16_CR12","doi-asserted-by":"publisher","unstructured":"Sebastian, B.V., Unnikrishnan, A., Balakrishnan, K.: Gray level co-occurrence matrices: generalisation and some new features. arXiv preprint (2012). https:\/\/doi.org\/10.48550\/arXiv.1205.4831","DOI":"10.48550\/arXiv.1205.4831"},{"issue":"6","key":"16_CR13","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1109\/TSMC.1978.4309999","volume":"8","author":"H Tamura","year":"1978","unstructured":"Tamura, H., Mori, S., Yamawaki, T.: Textural features corresponding to visual perception. IEEE Trans. Syst. Man Cybern. 8(6), 460\u2013473 (1978). https:\/\/doi.org\/10.1109\/TSMC.1978.4309999","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"16_CR14","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020191145","author":"A Zwanenburg","year":"2020","unstructured":"Zwanenburg, A., Leger, S., Valli\u00e8res, M., L\u00f6ck, S.: The image biomarker standardisation initiative: standardised quantitative radiomics for high-throughput image-based phenotyping. Radiology (2020). https:\/\/doi.org\/10.1148\/radiol.2020191145","journal-title":"Radiology"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing - ICIAP 2025 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-11317-7_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T02:54:32Z","timestamp":1767322472000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-11317-7_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032113160","9783032113177"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-11317-7_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rome","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap.org\/home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}