{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T15:40:24Z","timestamp":1726069224512},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030354442"},{"type":"electronic","value":"9783030354459"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-35445-9_21","type":"book-chapter","created":{"date-parts":[[2020,2,27]],"date-time":"2020-02-27T07:04:08Z","timestamp":1582787048000},"page":"255-267","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Segmentation and Classification of Noisy Thermographic Images as an Aid for Identifying Risk Levels of Breast Cancer"],"prefix":"10.1007","author":[{"given":"Pilar","family":"Gomez-Gil","sequence":"first","affiliation":[]},{"given":"Daniela","family":"Reynoso-Armenta","sequence":"additional","affiliation":[]},{"given":"Jorge","family":"Castro-Ramos","sequence":"additional","affiliation":[]},{"given":"Juan Manuel","family":"Ramirez-Cortes","sequence":"additional","affiliation":[]},{"given":"Vicente","family":"Alarcon-Aquino","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,28]]},"reference":[{"key":"21_CR1","unstructured":"U. S. Food and Drug Administration. Mammography: What You Need to Know, 27 October 2017. [Online]. Available: \nhttps:\/\/www.fda.gov\/ForConsumers\/ConsumerUpdates\/ucm420463.htm\n\n. Accessed 16 Febrero 2018"},{"key":"21_CR2","unstructured":"U.S. Food and Drug Administration.: Breast Cancer Screening: Thermogram No Substitute for Mammogram, 30 10 2017. [Online]. Available: \nhttps:\/\/www.fda.gov\/ForConsumers\/ConsumerUpdates\/ucm257499.htm\n\n. Accessed 16 Febrero 2018"},{"key":"21_CR3","unstructured":"Centro de Estudios y Prevenci\u00f3n del Cancer A.C.: Centro de Estudios y Prevenci\u00f3n del Cancer, A.C. (2018) [Online]. Available: \nhttp:\/\/ceprec.org\/index\/index.html\n\n. Accessed 13 Febrero 2019"},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"21_CR5","doi-asserted-by":"publisher","first-page":"558","DOI":"10.1016\/j.ijheatmasstransfer.2018.11.089","volume":"131","author":"J Gonzalez-Hernandez","year":"2019","unstructured":"Gonzalez-Hernandez, J., Recinella, A., Kandlikar, S., Dabydeen, D., Medeiros, L., Phatak, P.: Technology, application and potential of dynamic breast thermography for the detection of breast cancer. Int. J. Heat Mass Trans. 131, 558\u2013573 (2019)","journal-title":"Int. J. Heat Mass Trans."},{"key":"21_CR6","unstructured":"Koay, J., Herry, C., Frize, M.: Analysis of breast thermography with an artificial neural network. In: 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEMBS \u201804, Vol. 1, pp. 1159\u20131162 (2004)"},{"key":"21_CR7","unstructured":"Sossa Azuela, J.H., Rodr\u00edguez Morales, R.: Cap\u00edtulo 2. Proceso de captaci\u00f3n y formaci\u00f3n de una imagen. In: Procesamiento y An\u00e1lisis Digital de Im\u00e1genes, Madrid, Alfaomega pp. 45\u201359 (2011)"},{"issue":"3","key":"21_CR8","first-page":"670","volume":"27","author":"I Zare","year":"2016","unstructured":"Zare, I., Ghafarpour, A., Zadeh, H., Haddadnia, J., Mohammad, S., Isfahani, M.: Evaluating the thermal imaging system in detecting certain types of breast tissue masses. Biomed. Res. 27(3), 670\u2013675 (2016)","journal-title":"Biomed. Res."},{"issue":"4","key":"21_CR9","first-page":"2356","volume":"3","author":"P Hankare","year":"2016","unstructured":"Hankare, P., Shah, K., Nair, D., Nair, D.: Breast cancer detection using thermography. Int. Res. J. Eng. Technol. 3(4), 2356\u20132395 (2016)","journal-title":"Int. Res. J. Eng. Technol."},{"key":"21_CR10","unstructured":"Reynoso Armenta, D.M.: Diagnosis of breast cancer through the processing of thermographic images and Neural Networks. Master thesis in Optics, Tonantzintla, Puebla (2017)"},{"key":"21_CR11","unstructured":"Luna, J.G.V., Gutierrez Delgado, F.: Feasibility of new-generation infrared screening for breast cancer in rural communities. US Obstetrics and Gynecology, Touch Briefings. 5, 52\u201356 (2010)"},{"key":"21_CR12","unstructured":"Hobbins, W.: In abnormal thermogram-significance in breast cancer. Interamer. J Rad. 12, 337 (1987)"},{"key":"21_CR13","unstructured":"Flir\u00ae.: Veterinary applications of thermography. Accessed 10 November 2017. [Online]. Available: \nhttp:\/\/www.flir.com\/uploadedFiles\/Thermography\/MMC\/Brochures\/T820340\/T820340_EN.pdf"},{"key":"21_CR14","unstructured":"MathWorks\u00ae.: Help\u2009\u00ab\u2009rgb2gray,\u2009\u00bb\u2009. Available: \nhttps:\/\/www.mathworks.com\/help\/matlab\/ref\/rgb2gray.html\n\n. Accessed 31 October 2017"},{"key":"21_CR15","unstructured":"MathWorks\u00ae.: Object Detection Using Deep Learning. Available: \nhttps:\/\/www.mathworks.com\/help\/vision\/examples\/object-detection-using-deep-learning.html?requestedDomain=www.mathworks.com\n\n. Accessed 16 Febrero 2018]"}],"container-title":["Studies in Computational Intelligence","Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-35445-9_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,27]],"date-time":"2020-02-27T07:11:43Z","timestamp":1582787503000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-35445-9_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030354442","9783030354459"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-35445-9_21","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"28 February 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}