{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,27]],"date-time":"2025-07-27T07:21:19Z","timestamp":1753600879829,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031783975"},{"type":"electronic","value":"9783031783982"}],"license":[{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"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\/978-3-031-78398-2_29","type":"book-chapter","created":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T14:59:49Z","timestamp":1733065189000},"page":"438-452","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Multimodal MRI-based Framework for Thyroid Cancer Diagnosis Using eXplainable Machine Learning"],"prefix":"10.1007","author":[{"given":"Ahmed","family":"Sharafeldeen","sequence":"first","affiliation":[]},{"given":"Hossam Magdy","family":"Balaha","sequence":"additional","affiliation":[]},{"given":"Ali","family":"Mahmoud","sequence":"additional","affiliation":[]},{"given":"Reem","family":"Khaled","sequence":"additional","affiliation":[]},{"given":"Saher","family":"Taman","sequence":"additional","affiliation":[]},{"given":"Manar Mansour","family":"Hussein","sequence":"additional","affiliation":[]},{"given":"Mohammed","family":"Ghazal","sequence":"additional","affiliation":[]},{"given":"Ayman","family":"El-Baz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,2]]},"reference":[{"issue":"19","key":"29_CR1","doi-asserted-by":"publisher","first-page":"4055","DOI":"10.3390\/math11194055","volume":"11","author":"A Aljadani","year":"2023","unstructured":"Aljadani, A., Alharthi, B., Farsi, M.A., Balaha, H.M., Badawy, M., Elhosseini, M.A.: Mathematical modeling and analysis of credit scoring using the lime explainer: A comprehensive approach. Mathematics 11(19), 4055 (2023)","journal-title":"Mathematics"},{"issue":"4","key":"29_CR2","doi-asserted-by":"publisher","first-page":"968","DOI":"10.1111\/coin.12156","volume":"34","author":"TR Bandaragoda","year":"2018","unstructured":"Bandaragoda, T.R., Ting, K.M., Albrecht, D., Liu, F.T., Zhu, Y., Wells, J.R.: Isolation-based anomaly detection using nearest-neighbor ensembles. Comput. Intell. 34(4), 968\u2013998 (2018)","journal-title":"Comput. Intell."},{"issue":"4","key":"29_CR3","doi-asserted-by":"publisher","first-page":"1708","DOI":"10.1002\/mrm.25743","volume":"75","author":"AM Brown","year":"2015","unstructured":"Brown, A.M., Nagala, S., McLean, M.A., Lu, Y., Scoffings, D., Apte, A., Gonen, M., Stambuk, H.E., Shaha, A.R., Tuttle, R.M., Deasy, J.O., Priest, A.N., Jani, P., Shukla-Dave, A., Griffiths, J.: Multi-institutional validation of a novel textural analysis tool for preoperative stratification of suspected thyroid tumors on diffusion-weighted mri. Magn. Reson. Med. 75(4), 1708\u20131716 (2015). https:\/\/doi.org\/10.1002\/mrm.25743","journal-title":"Magn. Reson. Med."},{"issue":"10061","key":"29_CR4","doi-asserted-by":"publisher","first-page":"2783","DOI":"10.1016\/S0140-6736(16)30172-6","volume":"388","author":"ME Cabanillas","year":"2016","unstructured":"Cabanillas, M.E., McFadden, D.G., Durante, C.: Thyroid cancer. The Lancet 388(10061), 2783\u20132795 (2016)","journal-title":"The Lancet"},{"key":"29_CR5","doi-asserted-by":"publisher","unstructured":"Chaganti, R., Rustam, F., De\u00a0La Torre\u00a0D\u00edez, I., Maz\u00f3n, J.L.V., Rodr\u00edguez, C.L., Ashraf, I.: Thyroid disease prediction using selective features and machine learning techniques. Cancers 14(16), 3914 (Aug 2022).https:\/\/doi.org\/10.3390\/cancers14163914","DOI":"10.3390\/cancers14163914"},{"issue":"4","key":"29_CR6","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1001\/jamaoto.2014.1","volume":"140","author":"L Davies","year":"2014","unstructured":"Davies, L., Welch, H.G.: Current thyroid cancer trends in the united states. JAMA otolaryngology-head & neck surgery 140(4), 317\u2013322 (2014)","journal-title":"JAMA otolaryngology-head & neck surgery"},{"key":"29_CR7","unstructured":"Goldstein, M., Dengel, A.: Histogram-based outlier score (hbos): A fast unsupervised anomaly detection algorithm. KI-2012: poster and demo track 1, 59\u201363 (2012)"},{"issue":"4","key":"29_CR8","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1016\/S0167-9473(02)00280-3","volume":"44","author":"J Hardin","year":"2004","unstructured":"Hardin, J., Rocke, D.M.: Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator. Computational Statistics & Data Analysis 44(4), 625\u2013638 (2004)","journal-title":"Computational Statistics & Data Analysis"},{"key":"29_CR9","doi-asserted-by":"crossref","unstructured":"Huang, Y., Wang, X., Cao, Y., Li, M., Li, L., Chen, H., Tang, S., Lan, X., Jiang, F., Zhang, J.: Multiparametric mri model to predict molecular subtypes of breast cancer using shapley additive explanations interpretability analysis. Diagnostic and Interventional Imaging (2024)","DOI":"10.1016\/j.diii.2024.01.004"},{"key":"29_CR10","volume":"79","author":"Y Kim","year":"2022","unstructured":"Kim, Y., Kim, Y.: Explainable heat-related mortality with random forest and shapley additive explanations (shap) models. Sustain. Urban Areas 79, 103677 (2022)","journal-title":"Sustain. Urban Areas"},{"key":"29_CR11","doi-asserted-by":"crossref","unstructured":"Kriegel, H.P., Schubert, M., Zimek, A.: Angle-based outlier detection in high-dimensional data. In: Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. pp. 444\u2013452 (2008)","DOI":"10.1145\/1401890.1401946"},{"key":"29_CR12","doi-asserted-by":"crossref","unstructured":"Latecki, L.J., Lazarevic, A., Pokrajac, D.: Outlier detection with kernel density functions. In: International Workshop on Machine Learning and Data Mining in Pattern Recognition. pp. 61\u201375. Springer (2007)","DOI":"10.1007\/978-3-540-73499-4_6"},{"key":"29_CR13","doi-asserted-by":"crossref","unstructured":"Liu, F.T., Ting, K.M., Zhou, Z.H.: Isolation forest. In: 2008 eighth ieee international conference on data mining. pp. 413\u2013422. IEEE (2008)","DOI":"10.1109\/ICDM.2008.17"},{"issue":"4","key":"29_CR14","doi-asserted-by":"publisher","first-page":"349","DOI":"10.2174\/1574893614666191017091959","volume":"15","author":"X Ma","year":"2020","unstructured":"Ma, X., Xi, B., Zhang, Y., Zhu, L., Sui, X., Tian, G., Yang, J.: A machine learning-based diagnosis of thyroid cancer using thyroid nodules ultrasound images. Curr. Bioinform. 15(4), 349\u2013358 (2020). https:\/\/doi.org\/10.2174\/1574893614666191017091959","journal-title":"Curr. Bioinform."},{"key":"29_CR15","doi-asserted-by":"publisher","unstructured":"Naglah, A., Khalifa, F., Khaled, R., Abdel\u00a0Razek, A.A.K., Ghazal, M., Giridharan, G., El-Baz, A.: Novel mri-based cad system for early detection of thyroid cancer using multi-input cnn. Sensors 21(11), 3878 (Jun 2021) https:\/\/doi.org\/10.3390\/s21113878","DOI":"10.3390\/s21113878"},{"key":"29_CR16","doi-asserted-by":"publisher","unstructured":"Sharafeldeen, A., Elsharkawy, M., Shaffie, A., Khalifa, F., Soliman, A., Naglah, A., Khaled, R., Hussein, M.M., Alrahmawy, M., Elmougy, S., Yousaf, J., Ghazal, M., El-Baz, A.: Thyroid cancer diagnostic system using magnetic resonance imaging. In: 2022 26th International Conference on Pattern Recognition (ICPR). IEEE (Aug 2022) https:\/\/doi.org\/10.1109\/icpr56361.2022.9956125","DOI":"10.1109\/icpr56361.2022.9956125"},{"key":"29_CR17","doi-asserted-by":"publisher","unstructured":"Sharafeldeen, A., Elsharkawy, M., Khaled, R., Shaffie, A., Khalifa, F., Soliman, A., Abdel\u00a0Razek, A.A.k., Hussein, M.M., Taman, S., Naglah, A., Alrahmawy, M., Elmougy, S., Yousaf, J., Ghazal, M., El-Baz, A.: Texture and shape analysis of diffusion-weighted imaging for thyroid nodules classification using machine learning. Medical Physics 49(2), 988-999 (Dec 2021) https:\/\/doi.org\/10.1002\/mp.15399","DOI":"10.1002\/mp.15399"},{"issue":"5","key":"29_CR18","first-page":"63","volume":"1","author":"YH Sharifovna","year":"2021","unstructured":"Sharifovna, Y.H.: Thyroid cancer diagnostics, classification, staging. Ijtimoiy fanlarda innovasiya onlayn ilmiy jurnali 1(5), 63\u201369 (2021)","journal-title":"Ijtimoiy fanlarda innovasiya onlayn ilmiy jurnali"},{"key":"29_CR19","doi-asserted-by":"publisher","unstructured":"Siegel, R.L., Giaquinto, A.N., Jemal, A.: Cancer statistics, 2024. CA: A Cancer Journal for Clinicians 74(1), 12-49 (Jan 2024).https:\/\/doi.org\/10.3322\/caac.21820","DOI":"10.3322\/caac.21820"},{"key":"29_CR20","doi-asserted-by":"publisher","unstructured":"Wang, H., Song, B., Ye, N., Ren, J., Sun, X., Dai, Z., Zhang, Y., Chen, B.T.: Machine learning-based multiparametric mri radiomics for predicting the aggressiveness of papillary thyroid carcinoma. European Journal of Radiology 122, 108755 (Jan 2020) https:\/\/doi.org\/10.1016\/j.ejrad.2019.108755","DOI":"10.1016\/j.ejrad.2019.108755"},{"key":"29_CR21","unstructured":"Watanabe, S.: Tree-structured parzen estimator: Understanding its algorithm components and their roles for better empirical performance. arXiv preprint arXiv:2304.11127 (2023)"},{"key":"29_CR22","doi-asserted-by":"publisher","unstructured":"Wei, R., Wang, H., Wang, L., Hu, W., Sun, X., Dai, Z., Zhu, J., Li, H., Ge, Y., Song, B.: Radiomics based on multiparametric mri for extrathyroidal extension feature prediction in papillary thyroid cancer. BMC Medical Imaging 21(1) (Feb 2021) https:\/\/doi.org\/10.1186\/s12880-021-00553-z","DOI":"10.1186\/s12880-021-00553-z"},{"issue":"14","key":"29_CR23","doi-asserted-by":"publisher","first-page":"43071","DOI":"10.1007\/s11042-023-17137-4","volume":"83","author":"N Yadav","year":"2023","unstructured":"Yadav, N., Dass, R., Virmani, J.: Deep learning-based cad system design for thyroid tumor characterization using ultrasound images. Multimedia Tools and Applications 83(14), 43071\u201343113 (2023). https:\/\/doi.org\/10.1007\/s11042-023-17137-4","journal-title":"Multimedia Tools and Applications"},{"key":"29_CR24","doi-asserted-by":"publisher","unstructured":"Zhang, R., Liu, Q., Cui, H., Wang, X., Song, S., Huang, G., Feng, D.: Thyroid classification via new multi-channel feature association and learning from multi-modality mri images. In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). IEEE (Apr 2018). https:\/\/doi.org\/10.1109\/isbi.2018.8363573","DOI":"10.1109\/isbi.2018.8363573"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78398-2_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T15:06:22Z","timestamp":1733065582000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78398-2_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,2]]},"ISBN":["9783031783975","9783031783982"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78398-2_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,2]]},"assertion":[{"value":"2 December 2024","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"}}]}}