{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T08:11:06Z","timestamp":1767773466402,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031510250"},{"type":"electronic","value":"9783031510267"}],"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\/978-3-031-51026-7_8","type":"book-chapter","created":{"date-parts":[[2024,1,20]],"date-time":"2024-01-20T14:02:08Z","timestamp":1705759328000},"page":"83-92","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Prostate Cancer Detection: Performance of Radiomics Analysis in Multiparametric MRI"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7913-704X","authenticated-orcid":false,"given":"Muhammad","family":"Ali","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3629-355X","authenticated-orcid":false,"given":"Viviana","family":"Benfante","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7417-938X","authenticated-orcid":false,"given":"Giuseppe","family":"Cutaia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6704-8939","authenticated-orcid":false,"given":"Leonardo","family":"Salvaggio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sara","family":"Rubino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1231-2357","authenticated-orcid":false,"given":"Marzia","family":"Portoghese","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcella","family":"Ferraro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9123-4977","authenticated-orcid":false,"given":"Rosario","family":"Corso","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giovanni","family":"Piraino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1287-7358","authenticated-orcid":false,"given":"Tommaso","family":"Ingrassia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5797-3351","authenticated-orcid":false,"given":"Gabriele","family":"Tulone","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7355-7625","authenticated-orcid":false,"given":"Nicola","family":"Pavan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4529-3703","authenticated-orcid":false,"given":"Domenico","family":"Di Raimondo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6440-7318","authenticated-orcid":false,"given":"Antonino","family":"Tuttolomondo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9513-4869","authenticated-orcid":false,"given":"Alchiede","family":"Simonato","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2465-1185","authenticated-orcid":false,"given":"Giuseppe","family":"Salvaggio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,21]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1038\/nrclinonc.2014.69","volume":"11","author":"LM Johnson","year":"2014","unstructured":"Johnson, L.M., Turkbey, B., Figg, W.D., Choyke, P.L.: Multiparametric MRI in prostate cancer management. Nat. Rev. Clin. Oncol. 11, 346\u2013353 (2014). https:\/\/doi.org\/10.1038\/nrclinonc.2014.69","journal-title":"Nat. Rev. Clin. Oncol."},{"key":"8_CR2","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1111\/bju.12381","volume":"112","author":"J Thompson","year":"2013","unstructured":"Thompson, J., Lawrentschuk, N., Frydenberg, M., Thompson, L., Stricker, P.: The role of magnetic resonance imaging in the diagnosis and management of prostate cancer. BJU Int. 112, 6\u201320 (2013). https:\/\/doi.org\/10.1111\/bju.12381","journal-title":"BJU Int."},{"key":"8_CR3","doi-asserted-by":"publisher","first-page":"34","DOI":"10.3390\/jimaging7020034","volume":"7","author":"G Cutaia","year":"2021","unstructured":"Cutaia, G., et al.: Radiomics and prostate MRI: current role and future applications. J. Imaging 7, 34 (2021). https:\/\/doi.org\/10.3390\/jimaging7020034","journal-title":"J. Imaging"},{"key":"8_CR4","doi-asserted-by":"publisher","first-page":"10170","DOI":"10.3390\/app112110170","volume":"11","author":"A Stefano","year":"2021","unstructured":"Stefano, A., et al.: Robustness of PET radiomics features: impact of co-registration with MRI. Appl. Sci. 11, 10170 (2021). https:\/\/doi.org\/10.3390\/app112110170","journal-title":"Appl. Sci."},{"key":"8_CR5","doi-asserted-by":"publisher","first-page":"4006","DOI":"10.1038\/ncomms5006","volume":"5","author":"HJWL Aerts","year":"2014","unstructured":"Aerts, H.J.W.L., et al.: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat. Commun. 5, 4006 (2014). https:\/\/doi.org\/10.1038\/ncomms5006","journal-title":"Nat. Commun."},{"key":"8_CR6","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1002\/jmri.27585","volume":"54","author":"R Cuocolo","year":"2021","unstructured":"Cuocolo, R., et al.: Deep learning whole-gland and zonal prostate segmentation on a public MRI dataset. J. Magn. Reson. Imaging 54, 452\u2013459 (2021). https:\/\/doi.org\/10.1002\/jmri.27585","journal-title":"J. Magn. Reson. Imaging"},{"key":"8_CR7","doi-asserted-by":"publisher","first-page":"227","DOI":"10.3233\/CBM-130357","volume":"13","author":"A Gallotta","year":"2013","unstructured":"Gallotta, A., et al.: A novel algorithm for the prediction of prostate cancer in clinically suspected patients. Cancer Biomark. 13, 227\u2013234 (2013). https:\/\/doi.org\/10.3233\/CBM-130357","journal-title":"Cancer Biomark."},{"key":"8_CR8","doi-asserted-by":"publisher","first-page":"961","DOI":"10.1002\/asmb.2642","volume":"37","author":"S Barone","year":"2021","unstructured":"Barone, S., et al.: Hybrid descriptive-inferential method for key feature selection in prostate cancer radiomics. Appl. Stoch. Models Bus. Ind. 37, 961\u2013972 (2021). https:\/\/doi.org\/10.1002\/asmb.2642","journal-title":"Appl. Stoch. Models Bus. Ind."},{"key":"8_CR9","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., et al.: Radiomics: the process and the challenges. Magn. Reson. Imaging 30, 1234\u20131248 (2012). https:\/\/doi.org\/10.1016\/j.mri.2012.06.010","journal-title":"Magn. Reson. Imaging"},{"key":"8_CR10","doi-asserted-by":"publisher","unstructured":"Alongi, P., et al.: Choline PET\/CT features to predict survival outcome in high-risk prostate cancer restaging: a preliminary machine-learning radiomics study. Q. J. Nuclear Med. Molecular Imaging 66 (2022). https:\/\/doi.org\/10.23736\/S1824-4785.20.03227-6","DOI":"10.23736\/S1824-4785.20.03227-6"},{"key":"8_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-13321-3_41","author":"L Cairone","year":"2022","unstructured":"Cairone, L., et al.: Robustness of radiomics features to varying segmentation algorithms in magnetic resonance images. Presented at the (2022). https:\/\/doi.org\/10.1007\/978-3-031-13321-3_41","journal-title":"Presented at the"},{"key":"8_CR12","doi-asserted-by":"publisher","unstructured":"Vernuccio, F., Cannella, R., Comelli, A., Salvaggio, G., Lagalla, R., Midiri, M.: [Radiomics and artificial intelligence: new frontiers in medicine.]. Recenti Prog Med. 111, 130\u2013135 (2020). https:\/\/doi.org\/10.1701\/3315.32853","DOI":"10.1701\/3315.32853"},{"key":"8_CR13","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1067\/j.cpradiol.2019.10.009","volume":"50","author":"D Giambelluca","year":"2021","unstructured":"Giambelluca, D., et al.: PI-RADS 3 lesions: role of prostate MRI texture analysis in the identification of prostate cancer. Curr. Probl. Diagn. Radiol. 50, 175\u2013185 (2021). https:\/\/doi.org\/10.1067\/j.cpradiol.2019.10.009","journal-title":"Curr. Probl. Diagn. Radiol."},{"key":"8_CR14","doi-asserted-by":"publisher","first-page":"782","DOI":"10.3390\/app11020782","volume":"11","author":"A Comelli","year":"2021","unstructured":"Comelli, A., et al.: Deep learning-based methods for prostate segmentation in magnetic resonance imaging. Appl. Sci. 11, 782 (2021). https:\/\/doi.org\/10.3390\/app11020782","journal-title":"Appl. Sci."},{"key":"8_CR15","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1067\/j.cpradiol.2021.06.006","volume":"51","author":"G Salvaggio","year":"2022","unstructured":"Salvaggio, G., et al.: Deep learning network for segmentation of the prostate gland with median lobe enlargement in T2-weighted MR images: comparison with manual segmentation method. Curr. Probl. Diagn. Radiol. 51, 328\u2013333 (2022). https:\/\/doi.org\/10.1067\/j.cpradiol.2021.06.006","journal-title":"Curr. Probl. Diagn. Radiol."},{"key":"8_CR16","doi-asserted-by":"publisher","unstructured":"Wo\u017anicki, P., et al.: Multiparametric MRI for prostate cancer characterization: combined use of radiomics model with PI-RADS and clinical parameters. Cancers (Basel). 12, 1767 (2020). https:\/\/doi.org\/10.3390\/cancers12071767","DOI":"10.3390\/cancers12071767"},{"key":"8_CR17","doi-asserted-by":"publisher","first-page":"1313","DOI":"10.1007\/s00330-019-06488-y","volume":"30","author":"J Bleker","year":"2020","unstructured":"Bleker, J., Kwee, T.C., Dierckx, R.A.J.O., de Jong, I.J., Huisman, H., Yakar, D.: Multiparametric MRI and auto-fixed volume of interest-based radiomics signature for clinically significant peripheral zone prostate cancer. Eur. Radiol. 30, 1313\u20131324 (2020). https:\/\/doi.org\/10.1007\/s00330-019-06488-y","journal-title":"Eur. Radiol."},{"key":"8_CR18","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1186\/s12880-018-0258-4","volume":"18","author":"F Khalvati","year":"2018","unstructured":"Khalvati, F., Zhang, J., Chung, A.G., Shafiee, M.J., Wong, A., Haider, M.A.: MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection. BMC Med. Imaging 18, 16 (2018). https:\/\/doi.org\/10.1186\/s12880-018-0258-4","journal-title":"BMC Med. Imaging"},{"key":"8_CR19","doi-asserted-by":"publisher","unstructured":"Lee, H., Hwang, S. Il, Lee, H.J., Byun, S.-S., Lee, S.E., Hong, S.K.: Diagnostic performance of diffusion-weighted imaging for prostate cancer: Peripheral zone versus transition zone. PLoS One. 13, e0199636 (2018). https:\/\/doi.org\/10.1371\/journal.pone.0199636","DOI":"10.1371\/journal.pone.0199636"},{"key":"8_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-39343-4_1","author":"A Comelli","year":"2020","unstructured":"Comelli, A., et al.: Tissue classification to support local active delineation of brain tumors. Presented (2020). https:\/\/doi.org\/10.1007\/978-3-030-39343-4_1","journal-title":"Presented"},{"key":"8_CR21","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1002\/ima.22168","volume":"26","author":"L Agnello","year":"2016","unstructured":"Agnello, L., Comelli, A., Ardizzone, E., Vitabile, S.: Unsupervised tissue classification of brain MR images for voxel-based morphometry analysis. Int. J. Imaging Syst. Technol. 26, 136\u2013150 (2016). https:\/\/doi.org\/10.1002\/ima.22168","journal-title":"Int. J. Imaging Syst. Technol."}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing - ICIAP 2023 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-51026-7_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T05:11:40Z","timestamp":1711343500000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-51026-7_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031510250","9783031510267"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-51026-7_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"21 January 2024","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":"Udine","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap2023.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"144","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"82","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"57% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"https:\/\/iciap2023.org\/satellite-event\/workshops\/","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}