{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,9]],"date-time":"2025-05-09T05:40:08Z","timestamp":1746769208464,"version":"3.40.5"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031876622","type":"print"},{"value":"9783031876639","type":"electronic"}],"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\/978-3-031-87663-9_18","type":"book-chapter","created":{"date-parts":[[2025,5,9]],"date-time":"2025-05-09T05:14:00Z","timestamp":1746767640000},"page":"216-225","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Algorithm for Evaluating Morphological Features of Magnetic Resonance Images of Primary Extra-Axial Brain Tumors for Their Differential Diagnosis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3027-1963","authenticated-orcid":false,"given":"Nataly","family":"Ilyasova","sequence":"first","affiliation":[]},{"given":"Alisa","family":"Selezneva","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8707-770X","authenticated-orcid":false,"given":"Nikita","family":"Demin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6858-372X","authenticated-orcid":false,"given":"Aleksandr","family":"Kapishnikov","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8236-833X","authenticated-orcid":false,"given":"Evgeniy","family":"Surovcev","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,5,10]]},"reference":[{"key":"18_CR1","doi-asserted-by":"publisher","first-page":"1088","DOI":"10.1227\/01.NEU.0000188281.91351.B9","volume":"57","author":"EB Claus","year":"2005","unstructured":"Claus, E.B., Bondy, M.L., Schildkraut, J.M.: Epidemiology of intracranial meningioma. Neurosurgery 57, 1088\u20131095 (2005)","journal-title":"Neurosurgery"},{"key":"18_CR2","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1016\/j.ymeth.2020.06.003","volume":"188","author":"P Lohmann","year":"2021","unstructured":"Lohmann, P., Galldiks, N., Kocher, M.: Radiomics in neuro-oncology: basics, workflow, and applications. Methods 188, 112\u2013121 (2021)","journal-title":"Methods"},{"issue":"3","key":"18_CR3","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1007\/s12070-021-02372-8","volume":"73","author":"G Saigal","year":"2021","unstructured":"Saigal, G., Pisani, L., Allakhverdieva, E.: Utility of microhemorrhage as a diagnostic tool in distinguishing vestibular schwannomas from other cerebellopontine angle (CPA) tumors. Indian J. Otolaryngol Head Neck Surg. 73(3), 321\u2013326 (2021)","journal-title":"Indian J. Otolaryngol Head Neck Surg."},{"key":"18_CR4","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/B978-0-12-822198-3.00044-6","volume":"170","author":"DM Fountain","year":"2020","unstructured":"Fountain, D.M., Young, A.M.H., Santarius, T.: Malignant meningiomas. Handb. Clin. Neurol. 170, 245\u2013250 (2020)","journal-title":"Handb. Clin. Neurol."},{"issue":"4","key":"18_CR5","doi-asserted-by":"publisher","first-page":"287","DOI":"10.5455\/aim.2020.28.287-291","volume":"28","author":"S Kabashi","year":"2020","unstructured":"Kabashi, S., Ugurel, M.S., Dedushi, K., Mucaj, S.: The role of magnetic resonance imaging (MRI) in diagnostics of acoustic schwannoma. Acta Inform Med 28(4), 287\u2013291 (2020)","journal-title":"Acta Inform Med"},{"issue":"11","key":"18_CR6","doi-asserted-by":"publisher","first-page":"2605","DOI":"10.3390\/cancers14112605","volume":"14","author":"L Ugga","year":"2022","unstructured":"Ugga, L., Spadarella, G., Pinto, L., Cuocolo, R., Brunetti, A.: Meningioma radiomics: at the nexus of imaging, pathology and biomolecular characterization. Cancers (Basel) 14(11), 2605 (2022)","journal-title":"Cancers (Basel)"},{"key":"18_CR7","doi-asserted-by":"crossref","unstructured":"Maggio, I., Franceschi, E., Tosoni, A.: Meningioma: not always a benign tumor. a review of advances in the treatment of meningiomas. CNS Oncol. 10 (2021)","DOI":"10.2217\/cns-2021-0003"},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Gennatas, E.D., Wu, A., Braunstein, S.E.: Preoperative and postoperative prediction of long-term meningioma outcomes. PLoS One 13 (2018)","DOI":"10.1371\/journal.pone.0204161"},{"issue":"5","key":"18_CR9","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1016\/j.acra.2020.03.034","volume":"28","author":"H Chu","year":"2021","unstructured":"Chu, H., Lin, X., He, J.: Value of MRI radiomics based on enhanced T1WI images in prediction of meningiomas grade. Acad. Radiol. 28(5), 687\u2013693 (2021)","journal-title":"Acad. Radiol."},{"key":"18_CR10","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.mri.2020.11.009","volume":"77","author":"Y Han","year":"2021","unstructured":"Han, Y., Wang, T., Wu, P.: Meningiomas: Preoperative predictive histopathological grading based on radiomics of MRI. Magn. Reson. Imaging 77, 36\u201343 (2021)","journal-title":"Magn. Reson. Imaging"},{"issue":"6","key":"18_CR11","doi-asserted-by":"publisher","first-page":"1810","DOI":"10.1002\/jmri.26976","volume":"51","author":"C Ke","year":"2020","unstructured":"Ke, C., Chen, H., Lv, X.: Differentiation between benign and nonbenign meningiomas by using texture analysis from multiparametric MRI. J. Magn. Reson. Imaging 51(6), 1810\u20131820 (2020)","journal-title":"J. Magn. Reson. Imaging"},{"issue":"2","key":"18_CR12","doi-asserted-by":"publisher","first-page":"50","DOI":"10.17709\/2410-1893-2023-10-2-5","volume":"10","author":"EN Surovcev","year":"2023","unstructured":"Surovcev, E.N., Kapishnikov, A.V., Kolsanov, A.V.: Comparative evaluation of the possibilities of radiomic analysis of magnetic resonance imaging in the differential diagnostics of primary extra-axial intracranial tumors. Res. Pract. Med. J. 10(2), 50\u201361 (2023)","journal-title":"Res. Pract. Med. J."},{"key":"18_CR13","volume":"12","author":"J Zhang","year":"2022","unstructured":"Zhang, J., Zhang, G., Cao, Y.: A magnetic resonance imaging-based radiomic model for the noninvasive preoperative differentiation between transitional and atypical meningiomas. Front. Oncol. 12, 811761 (2022)","journal-title":"Front. Oncol."},{"issue":"1","key":"18_CR14","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1186\/s13244-020-00887-2","volume":"11","author":"JE Timmeren","year":"2020","unstructured":"Timmeren, J.E., Cester, D., Tanadini-Lang, S., Alkadhi, H., Baessler, B.: Radiomics in medical imaging \u2013 \u201chow-to\u201d guide and critical reflection. Insights Imaging 11(1), 91\u2013107 (2020)","journal-title":"Insights Imaging"},{"issue":"4","key":"18_CR15","doi-asserted-by":"publisher","first-page":"1692","DOI":"10.1002\/mp.14042","volume":"47","author":"P Langenhuizen","year":"2020","unstructured":"Langenhuizen, P., Sebregts, S., Zinger, S.: Prediction of transient tumor enlargement using MRI tumor texture after radiosurgery on vestibular schwannoma. Med. Phys. 47(4), 1692\u20131701 (2020)","journal-title":"Med. Phys."},{"key":"18_CR16","unstructured":"Ilyasova, N.Y., Kupriyanov, A.V., Khramov, A.G.: Information technologies of image analysis in tasks of medical diagnostics. Moscow: Radio Ccommun. 424 (2012)"},{"issue":"2","key":"18_CR17","doi-asserted-by":"publisher","first-page":"287","DOI":"10.3390\/sym15020287","volume":"15","author":"N Ilyasova","year":"2023","unstructured":"Ilyasova, N., Demin, N.S., Andriyanov, N.A.: Development of a computer system for automatically generating a laser photocoagulation plan to improve the retinal coagulation quality in the treatment of diabetic retinopathy. Symmetry 15(2), 287 (2023)","journal-title":"Symmetry"},{"key":"18_CR18","doi-asserted-by":"crossref","unstructured":"Ilyasova, N.Y., Demin, N.S., Surovcev, E.N., Kapishnikov, A.V.: Possibilities of MRI texture analysis of brain images in differential diagnosis of primary extra-axial tumors. J. Biomed. Photonics\u00a0 Eng. 9(4) (2023)","DOI":"10.18287\/JBPE23.09.040307"},{"key":"18_CR19","doi-asserted-by":"crossref","unstructured":"Lyakin, M.Y., Ilyasova, N.Y., Demin, N.S.: Identification of the ground-glass opacity on computed tomography images of the lungs based on the analysis of groups of textural features. In: Proceedings of the 2023 International Conference on Systems and Technologies of the Digital HealthCare, pp. 69\u201372 (2023)","DOI":"10.1109\/STDH59314.2023.10490753"},{"key":"18_CR20","unstructured":"Blair, D.J., Biss, T.H.: The measurement of shape in geography: an appraisal of methods and techniques. Bull. Quantitat. Data Geographers 11, 1\u201344 (1967)"},{"key":"18_CR21","doi-asserted-by":"crossref","unstructured":"Haralick, R.M.: A measure for circularity of digital figures. IEEE Trans. Syst. Man Cybernet. SMC 4, 394\u2013396 (1974)","DOI":"10.1109\/TSMC.1974.5408463"},{"key":"18_CR22","doi-asserted-by":"crossref","unstructured":"Gu, Q., Zhu, L., Cai, Z.: Evaluation measures of the classification performance of imbalanced data sets. In: International Symposium on Intelligence Computation and Applications: 4th International Symposium, vol. 51, pp. 461\u2013471 (2009)","DOI":"10.1007\/978-3-642-04962-0_53"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition. ICPR 2024 International Workshops and Challenges"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-87663-9_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,9]],"date-time":"2025-05-09T05:14:08Z","timestamp":1746767648000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-87663-9_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031876622","9783031876639"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-87663-9_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"10 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","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":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}