{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T03:38:13Z","timestamp":1776915493226,"version":"3.51.2"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319929996","type":"print"},{"value":"9783319930008","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-319-93000-8_99","type":"book-chapter","created":{"date-parts":[[2018,6,5]],"date-time":"2018-06-05T01:50:47Z","timestamp":1528163447000},"page":"869-876","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":80,"title":["Classification Of Breast Cancer Histology Images Using ALEXNET"],"prefix":"10.1007","author":[{"given":"Wajahat","family":"Nawaz","sequence":"first","affiliation":[]},{"given":"Sagheer","family":"Ahmed","sequence":"additional","affiliation":[]},{"given":"Ali","family":"Tahir","sequence":"additional","affiliation":[]},{"given":"Hassan Aqeel","family":"Khan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,6,6]]},"reference":[{"issue":"1","key":"99_CR1","doi-asserted-by":"publisher","first-page":"5","DOI":"10.3322\/caac.21254","volume":"65","author":"RL Siegel","year":"2015","unstructured":"Siegel, R.L., Miller, K.D., Jemal, A.: Cancer statistics, 2015. CA Cancer J. Clin. 65(1), 5\u201329 (2015)","journal-title":"CA Cancer J. Clin."},{"key":"99_CR2","unstructured":"National Breast Cancer Foundation. Breast Cancer Diagnosis (2015). http:\/\/www.nationalbreastcancer.org\/breast-cancer-diagnosis"},{"issue":"5","key":"99_CR3","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1111\/j.1365-2559.1991.tb00229.x","volume":"19","author":"CW Elston","year":"1991","unstructured":"Elston, C.W., Ellis, I.O.: Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology. 19(5), 403\u201310 (1991)","journal-title":"Histopathology."},{"issue":"12","key":"99_CR4","doi-asserted-by":"publisher","first-page":"2169","DOI":"10.1109\/TMI.2013.2275151","volume":"32","author":"P Filipczuk","year":"2013","unstructured":"Filipczuk, P., Fevens, T., Krzyzak, A., Monczak, R.: Computer-aided breast cancer diagnosis based on the analysis of cytological images of fine needle biopsies. IEEE Trans. Med. Imag. 32(12), 2169\u20132178 (2013)","journal-title":"IEEE Trans. Med. Imag."},{"issue":"3","key":"99_CR5","doi-asserted-by":"publisher","first-page":"949","DOI":"10.1109\/JSYST.2013.2279415","volume":"8","author":"YM George","year":"2014","unstructured":"George, Y.M., Zayed, H.H., Roushdy, M.I., Elbagoury, B.M.: Remote computer-aided breast cancer detection and diagnosis system based on cytological images. IEEE Syst. J. 8(3), 949\u201364 (2014)","journal-title":"IEEE Syst. J."},{"key":"99_CR6","doi-asserted-by":"crossref","unstructured":"Belsare, A.D., Mushrif, M.M., Pangarkar, M.A., Meshram, N.: Classification of breast cancer histopathology images using texture feature analysis. In: 2015 IEEE Region 10 Conference, TENCON 2015, Macau, p. 1\u20135. IEEE (2015)","DOI":"10.1109\/TENCON.2015.7372809"},{"key":"99_CR7","unstructured":"Brook, A., El-Yaniv, R., Issler, E., Kimmel, R., Meir, R., Peleg, D.: Breast cancer diagnosis from biopsy images using generic features and SVMs, pp. 1\u201316 (2007)"},{"key":"99_CR8","doi-asserted-by":"crossref","unstructured":"Zhang, B.: Breast cancer diagnosis from biopsy images by serial fusion of Random Subspace ensembles. In: 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI), vol. 1. IEEE (2011)","DOI":"10.1109\/BMEI.2011.6098229"},{"key":"99_CR9","unstructured":"Israel Institute of Technology dataset. ftp.cs.technion.ac.il\/pub\/projects\/medic-image"},{"key":"99_CR10","unstructured":"Krizhevsky, A., Ilya S., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems (2012)"},{"key":"99_CR11","doi-asserted-by":"crossref","unstructured":"Szegedy, C.: Going deeper with convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"99_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1007\/978-3-642-40763-5_51","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2013","author":"DC Cire\u015fan","year":"2013","unstructured":"Cire\u015fan, D.C., Giusti, A., Gambardella, L.M., Schmidhuber, J.: Mitosis detection in breast cancer histology images with deep neural networks. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013. LNCS, vol. 8150, pp. 411\u2013418. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-40763-5_51"},{"key":"99_CR13","doi-asserted-by":"publisher","first-page":"26286","DOI":"10.1038\/srep26286","volume":"6","author":"G Litjens","year":"2016","unstructured":"Litjens, G.: Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis. Sci. Rep. 6, 26286 (2016)","journal-title":"Sci. Rep."},{"issue":"5","key":"99_CR14","doi-asserted-by":"publisher","first-page":"1196","DOI":"10.1109\/TMI.2016.2525803","volume":"35","author":"K Sirinukunwattana","year":"2016","unstructured":"Sirinukunwattana, K.: Locality sensitive deep learning for detection and classification of nuclei in routine colon cancer histology images. IEEE Trans. Med. Imag. 35(5), 1196\u20131206 (2016)","journal-title":"IEEE Trans. Med. Imag."},{"issue":"4","key":"99_CR15","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1007\/s10278-017-9997-y","volume":"30","author":"J Chi","year":"2017","unstructured":"Chi, J.: Thyroid nodule classification in ultrasound images by fine-tuning deep convolutional neural network. J. Digit. Imag. 30(4), 477\u2013486 (2017)","journal-title":"J. Digit. Imag."},{"key":"99_CR16","doi-asserted-by":"crossref","unstructured":"Cruz-Roa, A.: Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. In: International Society for Optics and Photonics, SPIE Medical Imaging, vol. 9041 (2014)","DOI":"10.1117\/12.2043872"},{"issue":"6","key":"99_CR17","doi-asserted-by":"publisher","first-page":"e0177544","DOI":"10.1371\/journal.pone.0177544","volume":"12","author":"T Ara\u00fajo","year":"2017","unstructured":"Ara\u00fajo, T.: Classification of breast cancer histology images using Convolutional Neural Networks. PloS one 12(6), e0177544 (2017)","journal-title":"PloS one"},{"key":"99_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"532","DOI":"10.1007\/978-3-319-49409-8_46","volume-title":"Computer Vision \u2013 ECCV 2016 Workshops","author":"N Bayramoglu","year":"2016","unstructured":"Bayramoglu, N., Heikkil\u00e4, J.: Transfer learning for cell nuclei classification in\u00a0histopathology images. In: Hua, G., J\u00e9gou, H. (eds.) ECCV 2016. LNCS, vol. 9915, pp. 532\u2013539. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-49409-8_46"},{"key":"99_CR19","doi-asserted-by":"crossref","unstructured":"Macenko, M.: A method for normalizing histology slides for quantitative analysis. In: 2009 IEEE International Symposium on Biomedical Imaging, ISBI2009, From Nano to Macro. IEEE (2009)","DOI":"10.1109\/ISBI.2009.5193250"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-93000-8_99","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,18]],"date-time":"2019-10-18T22:31:53Z","timestamp":1571437913000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-93000-8_99"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319929996","9783319930008"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-93000-8_99","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}