PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Healthcare Informatics Research10.4258/hir.2020.26.1.61202026161Web-Based Spine Segmentation Using Deep Learning in Computed Tomography ImagesYoung Jae Kim, Bilegt Ganbold, Kwang Gi Kimhttps://synapse.koreamed.org/pdf/10.4258/hir.2020.26.1.61, https://synapse.koreamed.org/DOIx.php?id=10.4258/hir.2020.26.1.61, https://synapse.koreamed.org/DOIx.php?id=10.4258/hir.2020.26.1.61
10.21203/rs.3.rs-65573/v12020Deep Learning Based Liver Cancer Segmentation from Computed Tomography ImagesYodit Abebe Ayalew, Kinde Anlay Fante, Mohammed Aliyhttps://www.researchsquare.com/article/rs-65573/v1, https://www.researchsquare.com/article/rs-65573/v1.html
MATEC Web of Conferences10.1051/matecconf/201823202001201823202001A Review of Image Segmentation Methods for Lung Nodule Detection Based on Computed Tomography ImagesLi Zheng, Yiran Leihttps://www.matec-conferences.org/10.1051/matecconf/201823202001/pdf
Computed Tomography - Advanced Applications10.5772/675942017Novelty Detection‐Based Internal Fingerprint Segmentation in Optical Coherence Tomography ImagesRethabile Khutlang, Pheeha Machaka, Ann Singh, Fulufhelo Nelwamondohttp://www.intechopen.com/download/pdf/54257
Materials10.3390/ma130409362020134936Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven CompositesYuriy Sinchuk, Pierre Kibleur, Jan Aelterman, Matthieu N. Boone, Wim Van Paepegemhttps://www.mdpi.com/1996-1944/13/4/936/pdf
Neurocomputing10.1016/j.neucom.2020.07.1432021Automatic fluid segmentation in retinal optical coherence tomography images using attention based deep learningXiaoming Liu, Shaocheng Wang, Ying Zhang, Dong Liu, Wei Huhttps://api.elsevier.com/content/article/PII:S0925231220319135?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0925231220319135?httpAccept=text/plain
Journal of Cardiovascular Computed Tomography10.1016/j.jcct.2020.06.0172020143S20-S21Automated Multi-Chamber Segmentation And Imaging Plane Re-slicing Of Cardiac CT Images Via Deep LearningZ. Chen, M. Rigolli, D. Vigneault, A. Craine, F. Contijochhttps://api.elsevier.com/content/article/PII:S1934592520301908?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1934592520301908?httpAccept=text/plain
10.21203/rs.3.rs-82263/v12020Integration of Deep and Ensemble Learning for Detecting COVID-19 in Computed Tomography ImagesAli Haidar, Lois Hollowayhttps://www.researchsquare.com/article/rs-82263/v1, https://www.researchsquare.com/article/rs-82263/v1.html
10.21203/rs.3.rs-82263/v22020Integration of Deep and Ensemble Learning for Detecting COVID-19 in Computed Tomography ImagesAli Haidar, Lois Hollowayhttps://www.researchsquare.com/article/rs-82263/v2, https://www.researchsquare.com/article/rs-82263/v2.html
Journal of Physics: Conference Series10.1088/1742-6596/1547/1/01201320201547012013Bone segmentation in computed tomography images using a Hermite-based approachL Vargas-Quintero, L Barba-J, J A Calderon, C Torres-Morenohttps://iopscience.iop.org/article/10.1088/1742-6596/1547/1/012013/pdf, https://iopscience.iop.org/article/10.1088/1742-6596/1547/1/012013, https://iopscience.iop.org/article/10.1088/1742-6596/1547/1/012013/pdf, https://iopscience.iop.org/article/10.1088/1742-6596/1547/1/012013