{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T14:43:51Z","timestamp":1750949031131,"version":"3.28.0"},"reference-count":18,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/bibm.2018.8621265","type":"proceedings-article","created":{"date-parts":[[2019,2,28]],"date-time":"2019-02-28T22:32:01Z","timestamp":1551393121000},"page":"2363-2367","source":"Crossref","is-referenced-by-count":15,"title":["L-FCN: A lightweight fully convolutional network for biomedical semantic segmentation"],"prefix":"10.1109","author":[{"given":"Kaiyue","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangtai","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haitao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Mathematical Morphology and its Applications to Image and Signal Processing","year":"2011","author":"heijmans","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/34.87344"},{"key":"ref12","first-page":"67","article-title":"An improved Sobel edge detection","author":"gao","year":"2010","journal-title":"An Improved Sobel Edge Detection"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1086\/323894"},{"key":"ref14","first-page":"174","article-title":"An Analysis of the Regularization Between L2 and Dropout in Single Hidden Layer Neural Network","author":"phaisangittisagul","year":"2017","journal-title":"Book An Analysis of the Regularization Between L2 and Dropout in Single Hidden Layer Neural Network"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7965947"},{"key":"ref16","first-page":"115","article-title":"Adaptive Estimation Algorithm for Systems with Multiplicative Noise and Unknown Transfer Matrix","volume":"41","author":"chu","year":"2011","journal-title":"Periodical of Ocean University of China"},{"key":"ref17","article-title":"A Fast Image Inpainting Algorithm Based on Average Gray Value","author":"peng","year":"2010","journal-title":"Journal of Image and Graphics"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-007-9044-5"},{"key":"ref4","first-page":"82","volume":"1","author":"pinheiro","year":"2013","journal-title":"Recurrent Convolutional Neural Networks for Scene Parsing"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1007\/978-3-319-10584-0_20","article-title":"Simultaneous Detection and Segmentation","volume":"8695","author":"hariharan","year":"2014","journal-title":"Lecture Notes in Computer Science"},{"key":"ref6","first-page":"91","article-title":"Faster R-CNN: towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Book Faster R-CNN Towards real-time object detection with region proposal networks"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref8","first-page":"1796","author":"pathak","year":"2015","journal-title":"Constrained convolutional neural networks for weakly supervised segmentation"},{"key":"ref7","first-page":"1742","author":"papandreou","year":"2015","journal-title":"Weakly-and semi-supervised learning of a dcnn for semantic image segmentation"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.231"},{"key":"ref1","first-page":"2852","article-title":"Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images","volume":"25","author":"dan","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref9","first-page":"234","volume":"9351","author":"ronneberger","year":"2015","journal-title":"U-net Convolutional networks for biomedical image segmentation"}],"event":{"name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2018,12,3]]},"location":"Madrid, Spain","end":{"date-parts":[[2018,12,6]]}},"container-title":["2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8609864\/8621069\/08621265.pdf?arnumber=8621265","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T05:44:44Z","timestamp":1598247884000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8621265\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/bibm.2018.8621265","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}