{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T09:23:23Z","timestamp":1763457803876,"version":"3.28.0"},"reference-count":19,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,3,18]]},"DOI":"10.1117\/12.2512360","type":"proceedings-article","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T16:02:48Z","timestamp":1552924968000},"page":"16","source":"Crossref","is-referenced-by-count":11,"title":["Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks"],"prefix":"10.1117","author":[{"given":"Jannis","family":"van Kersbergen","sequence":"first","affiliation":[]},{"given":"Farhad","family":"Ghazvinian Zanjani","sequence":"additional","affiliation":[]},{"given":"Svitlana","family":"Zinger","sequence":"additional","affiliation":[]},{"given":"Fons","family":"van der Sommen","sequence":"additional","affiliation":[]},{"given":"Benjamin","family":"Balluff","sequence":"additional","affiliation":[]},{"given":"Naomi","family":"Vos","sequence":"additional","affiliation":[]},{"given":"Shane","family":"Ellis","sequence":"additional","affiliation":[]},{"given":"Ron","family":"M.A. Heeran","sequence":"additional","affiliation":[]},{"given":"Marit","family":"Lucas","sequence":"additional","affiliation":[]},{"given":"Henk A.","family":"Marquering","sequence":"additional","affiliation":[]},{"given":"Ilaria","family":"Jansen","sequence":"additional","affiliation":[]},{"given":"C. Dilara","family":"Savci-Heijink","sequence":"additional","affiliation":[]},{"given":"Daniel  M.","family":"de Bruin","sequence":"additional","affiliation":[]},{"given":"Peter H. N.","family":"de With","sequence":"additional","affiliation":[]}],"member":"189","reference":[{"key":"c1","doi-asserted-by":"publisher","DOI":"10.1126\/scitranslmed.aan3968"},{"key":"c2","doi-asserted-by":"publisher","DOI":"10.1038\/86573"},{"key":"c3","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbapap.2016.11.003"},{"key":"c4","doi-asserted-by":"publisher","DOI":"10.1074\/mcp.M115.057513"},{"key":"c5","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btx724"},{"key":"c6","article-title":"Multi-scale context aggregation by dilated convolutions","volume-title":"arXiv","author":"Yu","year":"2015"},{"key":"c7","doi-asserted-by":"publisher","DOI":"10.1038\/sj.onc.1209755"},{"key":"c8","doi-asserted-by":"publisher","DOI":"10.1074\/mcp.R400007-MCP200"},{"key":"c9","doi-asserted-by":"crossref","first-page":"1442","DOI":"10.1109\/WACV.2018.00162","article-title":"Effective use of dilated convolutions for segmenting small object instances in remote sensing imagery","volume-title":"2018 IEEE Winter Conference on Applications of Computer Vision","author":"Hamaguchi","year":"2018"},{"key":"c10","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9878-1"},{"key":"c11","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"volume-title":"Deep Learning","year":"2016","author":"Goodfellow","key":"c12"},{"key":"c13","first-page":"1","article-title":"Deep residual learning for image steganalysis","author":"Wu","year":"2017","journal-title":"Multimedia Tools and Applications"},{"article-title":"Batch normalization: Accelerating deep network traning by reducing internal covariate shift","year":"2015","author":"Ioffe","key":"c14"},{"key":"c15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"c16","doi-asserted-by":"crossref","first-page":"2670","DOI":"10.18653\/v1\/D17-1283","article-title":"Fast and accurate entity recognition with iterated dilated convolutions","volume-title":"Proceedings of the 2017 Conferene on Empirical methods in Natural Language Processing","author":"Strubell","year":"2017"},{"key":"c17","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Representations","author":"Kingma","year":"2014"},{"key":"c18","first-page":"1026","article-title":"Delving deep into rectifiers: Surpassing human-level performance on imagenet classification","volume-title":"Proceedings of the IEEE international conference on computer vision","author":"He","year":"2015"},{"key":"c19","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1109\/WACV.2017.58","article-title":"Cyclical learning rates for training neural networks","volume-title":"Applications of Computer Vision (WACV), 2017 IEEE Winter Conference on IEEE","author":"Smith","year":"2017"}],"event":{"name":"Digital Pathology","start":{"date-parts":[[2019,2,16]]},"location":"San Diego, United States","end":{"date-parts":[[2019,2,21]]}},"container-title":["Medical Imaging 2019: Digital Pathology"],"original-title":[],"deposited":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T12:58:39Z","timestamp":1554123519000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/10956\/2512360\/Cancer-detection-in-mass-spectrometry-imaging-data-by-dilated-convolutional\/10.1117\/12.2512360.full"}},"subtitle":[],"editor":[{"given":"John E.","family":"Tomaszewski","sequence":"additional","affiliation":[]},{"given":"Aaron D.","family":"Ward","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2019,3,18]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1117\/12.2512360","relation":{},"subject":[],"published":{"date-parts":[[2019,3,18]]}}}