Search Results - "Fully-automated segmentation algorithms"

Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage by Ironside, Natasha, Chen, Ching-Jen, Mutasa, Simukayi, Sim, Justin L, Marfatia, Saurabh, Roh, David, Ding, Dale, Mayer, Stephan A, Lignelli, Angela, Connolly, Edward Sander

“…). The aims of this study are to derive and validate a fully automated segmentation algorithm for ICH volumetric analysis using deep learning methods…”
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Fully Automated Segmentation Algorithm for Perihematomal Edema Volumetry After Spontaneous Intracerebral Hemorrhage by Ironside, Natasha, Chen, Ching-Jen, Mutasa, Simukayi, Sim, Justin L, Ding, Dale, Marfatiah, Saurabh, Roh, David, Mukherjee, Sugoto, Johnston, Karen C, Southerland, Andrew M, Mayer, Stephan A, Lignelli, Angela, Connolly, Edward Sander

“… The aims of this study are to derive and internally validate a fully automated segmentation algorithm for volumetric analysis of PHE…”
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Karpinski Score under Digital Investigation: A Fully Automated Segmentation Algorithm to Identify Vascular and Stromal Injury of Donors’ Kidneys by Salvi, Massimo, Mogetta, Alessandro, Meiburger, Kristen M., Gambella, Alessandro, Molinaro, Luca, Barreca, Antonella, Papotti, Mauro, Molinari, Filippo

“…In kidney transplantations, the evaluation of the vascular structures and stromal areas is crucial for determining kidney acceptance, which is currently based…”
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GBM-Reservoir: Brain tumor (Glioblastoma Multiforme) MRI dataset collection with ground truth segmentation masks by Solak, Naida, Ferreira, André, Luijten, Gijs, Puladi, Behrus, Alves, Victor, Egger, Jan

“…In this article, we present a brain tumor database collection comprising 23,049 samples, with each sample including four different types of MRI brain scans:…”
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Spatial Correspondence Between Intraretinal Fluid, Subretinal Fluid, and Pigment Epithelial Detachment in Neovascular Age-Related Macular Degeneration by Klimscha, Sophie, Waldstein, Sebastian M., Schlegl, Thomas, Bogunovic, Hrvoje, Sadeghipour, Amir, Philip, Ana-Maria, Podkowinski, Dominika, Pablik, Eleonore, Zhang, Li, Abramoff, Michael D., Sonka, Milan, Gerendas, Bianca S., Schmidt-Erfurth, Ursula

“…) of 1341 patients with treatment-naïve nAMD. IRC, SRF, and PED were detected on a per-voxel basis using fully automated segmentation algorithms…”
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Comparison of retinal layer thickness measurements obtained using two different swept-source optical coherence tomography imaging modes by Yoon, Yo Sep, Park, Chang Uk, Song, Jun Ho, Min, Jung Kee

“… Conclusions The full retinal thickness measurements determined using both fully automated segmentation algorithms…”
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Alzheimer’s disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm by Amoroso, Nicola, Rocca, Marianna La, Bellotti, Roberto, Fanizzi, Annarita, Monaco, Alfonso, Tangaro, Sabina

“… Accordingly, the development of reliable fully-automated segmentation algorithms is of paramount importance…”
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A Practical Guide to Manual and Semi-Automated Neurosurgical Brain Lesion Segmentation by Jain, Raunak, Lee, Faith, Luo, Nianhe, Hyare, Harpreet, Pandit, Anand S.

“…The purpose of the article is to provide a practical guide for manual and semi-automated image segmentation of common neurosurgical cranial lesions, namely…”
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Probabilistic model for 3D interactive segmentation by Hershkovich, Tsachi, Shalmon, Tamar, Shitrit, Ohad, Halay, Nir, Menze, Bjoern H., Dolgopyat, Irit, Kahn, Itamar, Shelef, Ilan, Riklin Raviv, Tammy

“…] Fully-automated segmentation algorithms offer fast, objective, and reproducible results for large data collections…”
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GBM-Reservoir: Brain tumor (Glioblastoma Multiforme) MRI dataset collection with ground truth segmentation masksfigshare by Naida Solak, André Ferreira, Gijs Luijten, Behrus Puladi, Victor Alves, Jan Egger

“…In this article, we present a brain tumor database collection comprising 23,049 samples, with each sample including four different types of MRI brain scans:…”
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Comparison of manual, semi- and fully automated heart segmentation for assessing global left ventricular function in multidetector computed tomography by Plumhans, Cedric, Keil, Sebastian, Ocklenburg, Christina, Mühlenbruch, Georg, Behrendt, Florian F, Günther, Rolf W, Mahnken, Andreas H

“…To evaluate the reliability of global left ventricular (LV) function and mass measurements with the aid of a semi-automated (Circulation; Siemens, Forchheim,…”
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Quantitative analysis and segmentation of knee MRI using layered optimal graph segmentation of multiple objects and surfaces by Kashyap, Satyananda

“…Knee osteoarthritis is one of the most debilitating aging diseases as it causes loss of cartilage of the knee joint. Knee osteoarthritis affects the quality of…”
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CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network by Gerard, Sarah E., Herrmann, Jacob, Xin, Yi, Martin, Kevin T., Rezoagli, Emanuele, Ippolito, Davide, Bellani, Giacomo, Cereda, Maurizio, Guo, Junfeng, Hoffman, Eric A., Kaczka, David W., Reinhardt, Joseph M.

“…The purpose of this study was to develop a fully-automated segmentation algorithm, robust to various density enhancing lung abnormalities, to facilitate rapid quantitative analysis of computed tomography images…”
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Fully automated segmentation of callus by micro-CT compared to biomechanics by Bissinger, Oliver, Götz, Carolin, Wolff, Klaus-Dietrich, Hapfelmeier, Alexander, Prodinger, Peter Michael, Tischer, Thomas

“… Our aim was to therefore apply a fully automated segmentation algorithm to determine μCT parameters and examine their association with biomechanic…”
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CT-based whole lung radiomics nomogram for identification of PRISm from non-COPD subjects by Zhou, TaoHu, Guan, Yu, Lin, XiaoQing, Zhou, XiuXiu, Mao, Liang, Ma, YanQing, Fan, Bing, Li, Jie, Liu, ShiYuan, Fan, Li

“… Whole lung on thin-section computed tomography (CT) was segmented with a fully automated segmentation algorithm…”
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Automated 3D MRI rendering of the craniofacial skeleton: using ZTE to drive the segmentation of black bone and FIESTA-C images by Eley, Karen A, Delso, Gaspar

“…Purpose Automated bone segmentation from MRI datasets would have a profound impact on clinical utility, particularly in the craniofacial skeleton where complex…”
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Quantification of cervical spinal stenosis by automated 3D MRI segmentation of spinal cord and cerebrospinal fluid space by Hohenhaus, Marc, Klingler, Jan-Helge, Scholz, Christoph, Watzlawick, Ralf, Hubbe, Ulrich, Beck, Jürgen, Reisert, Marco, Würtemberger, Urs, Kremers, Nico, Wolf, Katharina

“…Design Prospective diagnostic study. Objectives Anatomical evaluation and graduation of the severity of spinal stenosis is essential in degenerative cervical…”
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Evaluating the impact of vitreomacular adhesion on anti-VEGF therapy for retinal vein occlusion using machine learning by Waldstein, Sebastian M., Montuoro, Alessio, Podkowinski, Dominika, Philip, Ana-Maria, Gerendas, Bianca S., Bogunovic, Hrvoje, Schmidt-Erfurth, Ursula

“… The aim of this study was to (1) develop a fully automated segmentation algorithm for the posterior vitreous boundary and (2…”
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Automatic segmentation of the aortic root in CT angiography of candidate patients for transcatheter aortic valve implantation by Elattar, M. A., Wiegerinck, E. M., Planken, R. N., vanbavel, E., van Assen, H. C., Baan, J., Marquering, H. A.

“… Segmentation of the aortic root in CTA is pivotal to enable automated sizing and planning. We present a fully automated segmentation algorithm to extract the aortic root from CTA volumes consisting of a number of steps…”
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Automatic segmentation of cortical and trabecular compartments based on a dual threshold technique for in vivo micro-CT bone analysis by Buie, Helen R., Campbell, Graeme M., Klinck, R. Joshua, MacNeil, Joshua A., Boyd, Steven K.

“… A simple, robust, and fully-automated segmentation algorithm is presented that efficiently segments bone regions…”
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