{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T06:04:41Z","timestamp":1780466681508,"version":"3.54.1"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1109\/isbi.2019.8759477","type":"proceedings-article","created":{"date-parts":[[2019,7,11]],"date-time":"2019-07-11T19:58:34Z","timestamp":1562875114000},"page":"455-458","source":"Crossref","is-referenced-by-count":117,"title":["Focusnet: An Attention-Based Fully Convolutional Network for Medical Image Segmentation"],"prefix":"10.1109","author":[{"given":"Chaitanya","family":"Kaul","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suresh","family":"Manandhar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nick","family":"Pears","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2017.7950488"},{"key":"ref11","first-page":"474","article-title":"Graphics gems iv","author":"zuiderveld","year":"1994","journal-title":"Contrast limited adaptive histogram equalization"},{"key":"ref12","article-title":"Skin lesion analysis toward melanoma detection: A challenge at the 2017 international symposium on biomedical imaging (isbi), hosted by the international skin imaging collaboration (ISIC)","volume":"abs 1710 5006","author":"noel","year":"2017","journal-title":"CoRR"},{"key":"ref13","author":"mader","year":"0","journal-title":"Finding and measuring lungs in ct data"},{"key":"ref14","author":"chollet","year":"2015","journal-title":"Keras"},{"key":"ref15","article-title":"Recurrent residual convolutional neural network based on u-net (r2u-net) for medical image segmentation","volume":"abs 1802 6955","author":"zahangir alom","year":"2018","journal-title":"CoRR"},{"key":"ref16","article-title":"Skin lesion analysis towards melanoma detection using deep learning network","volume":"abs 1703 577","author":"li","year":"2017","journal-title":"CoRR"},{"key":"ref17","article-title":"II-FCN for skin lesion analysis towards melanoma detection","volume":"abs 1702 8699","author":"wen","year":"2017","journal-title":"CoRR"},{"key":"ref18","article-title":"Spatially aware melanoma segmentation using hybrid deep learning techniques","volume":"abs 1702 7963","author":"attia","year":"2017","journal-title":"CoRR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IESYS.2017.8233570"},{"key":"ref4","article-title":"Deep residual learning for image recognition","volume":"abs 1512 3385","author":"he","year":"2015","journal-title":"CoRR"},{"key":"ref3","article-title":"You only look once: Unified, real-time object detection","volume":"abs 1506 2640","author":"redmon","year":"2015","journal-title":"CoRR"},{"key":"ref6","article-title":"ABC-CNN: an attention based convolutional neural network for visual question answering","volume":"abs 1511 5960","author":"chen","year":"2015","journal-title":"CoRR"},{"key":"ref5","first-page":"630","article-title":"Identity mappings in deep residual networks","author":"he","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref8","article-title":"Squeeze-and-excitation networks","volume":"7","author":"hu","year":"2017","journal-title":"arXiv preprint arXiv 1709 04396"},{"key":"ref7","article-title":"Lip reading sentences in the wild","volume":"abs 1611 5358","author":"chung","year":"2016","journal-title":"CoRR"},{"key":"ref2","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume":"abs 1505 4597","author":"ronneberger","year":"2015","journal-title":"CoRR"},{"key":"ref1","article-title":"Very deep convolutional networks for large-scale image recognition","volume":"abs 1409 1556","author":"simonyan","year":"2014","journal-title":"CoRR"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/S0734-189X(87)80186-X"}],"event":{"name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)","location":"Venice, Italy","start":{"date-parts":[[2019,4,8]]},"end":{"date-parts":[[2019,4,11]]}},"container-title":["2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8754684\/8759097\/08759477.pdf?arnumber=8759477","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T17:55:19Z","timestamp":1658080519000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8759477\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/isbi.2019.8759477","relation":{},"subject":[],"published":{"date-parts":[[2019,4]]}}}