{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T17:57:28Z","timestamp":1730311048687,"version":"3.28.0"},"reference-count":32,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,4,4]]},"DOI":"10.1117\/12.2612684","type":"proceedings-article","created":{"date-parts":[[2022,3,18]],"date-time":"2022-03-18T17:59:29Z","timestamp":1647626369000},"page":"127","source":"Crossref","is-referenced-by-count":2,"title":["A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma"],"prefix":"10.1117","author":[{"given":"Shadab","family":"Ahamed","sequence":"first","affiliation":[]},{"given":"Natalia","family":"Dubljevic","sequence":"additional","affiliation":[]},{"given":"Ingrid","family":"Bloise","sequence":"additional","affiliation":[]},{"given":"Claire","family":"Gowdy","sequence":"additional","affiliation":[]},{"given":"Patrick","family":"Martineau","sequence":"additional","affiliation":[]},{"given":"Don","family":"Wilson","sequence":"additional","affiliation":[]},{"given":"Carlos F.","family":"Uribe","sequence":"additional","affiliation":[]},{"given":"Arman","family":"Rahmim","sequence":"additional","affiliation":[]},{"given":"Fereshteh","family":"Yousefirizi","sequence":"additional","affiliation":[]}],"member":"189","reference":[{"key":"B1","doi-asserted-by":"crossref","unstructured":"\u201cA clinical evaluation of the International Lymphoma Study Group classification of non-Hodgkin\u2019s lymphoma. The Non-Hodgkin\u2019s Lymphoma Classification Project,\u201d Blood 89, 3909\u20133918 (Jun 1997).","DOI":"10.1182\/blood.V89.11.3909"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1186\/s40658-020-00346-3"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1007\/s13246-017-0587-6"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.2967\/jnumed.120.242412"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0210224"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1182\/blood.2019003526"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-69577-9"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2016.34.15_suppl.7509"},{"article-title":"Pattern recognition and signal analysis in medical imaging","year":"2014","author":"Meyer-Base","key":"B9"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020192224"},{"issue":"2","key":"B11","first-page":"102","article-title":"An overview of deep learning in medical imaging focusing on mri","volume":"29","author":"Lundervold","year":"2019","journal-title":"Special Issue: Deep Learning in Medical Physics"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.2967\/jnumed.120.261586"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cpet.2021.06.001"},{"key":"B14","first-page":"234","article-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation]","author":"Ronneberger","year":"2015"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.34"},{"article-title":"Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer","year":"2019","author":"Kumar","key":"B16"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0195798"},{"key":"B18","first-page":"753","article-title":"Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT\/PET Imaging in Radiotherapy","author":"Zhu","year":"2020"},{"key":"B19","first-page":"277","article-title":"Image segmentation with a bounding box prior","volume-title":"in [2009 IEEE 12th International Conference on Computer Vision]","author":"Lempitsky","year":"2009"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.2020200016"},{"key":"B21","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1109\/CVPR.2016.90","article-title":"Deep residual learning for image recognition","volume-title":"[2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)]","author":"He","year":"2016"},{"key":"B22","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1109\/CVPR.2009.5206848","article-title":"Imagenet: A large-scale hierarchical image database","volume-title":"in [2009 IEEE Conference on Computer Vision and Pattern Recognition]","author":"Deng","year":"2009"},{"key":"B23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"article-title":"Feature pyramid networks for object detection","year":"2016","author":"Lin","key":"B24"},{"issue":"1","key":"B25","article-title":"Reproducibility of a semi-automatic gradient-based segmentation approach for lymphoma pet","volume":"48","author":"Yousefirizi","year":"2021","journal-title":"European Journal of Nuclear Medicine and Molecular Imaging"},{"key":"B26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.34"},{"article-title":"Machine learning: a probabilistic perspective","year":"2012","author":"Murphy","key":"B27"},{"key":"B28","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1007\/978-3-319-67558-9_28","article-title":"Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations","volume-title":"Deep learning in medical image analysis and multimodal learning for clinical decision support : Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, held in conjunction with MICCAI 2017 Quebec City, QC","volume":"2017","author":"Sudre","year":"2017"},{"key":"B29","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/abb6bd"},{"key":"B30","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2014.04.014"},{"key":"B31","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2020.100297"},{"key":"B32","first-page":"764","article-title":"Deformable convolutional networks","author":"Dai","year":"2017"}],"event":{"name":"Image Processing","start":{"date-parts":[[2022,2,20]]},"location":"San Diego, United States","end":{"date-parts":[[2022,3,28]]}},"container-title":["Medical Imaging 2022: Image Processing"],"original-title":[],"deposited":{"date-parts":[[2022,7,2]],"date-time":"2022-07-02T21:28:12Z","timestamp":1656797292000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/12032\/2612684\/A-cascaded-deep-network-for-automated-tumor-detection-and-segmentation\/10.1117\/12.2612684.full"}},"subtitle":[],"editor":[{"given":"Ivana","family":"I\u0161gum","sequence":"additional","affiliation":[]},{"given":"Olivier","family":"Colliot","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,4,4]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1117\/12.2612684","relation":{},"subject":[],"published":{"date-parts":[[2022,4,4]]}}}