Výsledky vyhledávání - Fully-automated segmentation algorithms

Karpinski Score under Digital Investigation: A Fully Automated Segmentation Algorithm to Identify Vascular and Stromal Injury of Donors’ Kidneys Autor Salvi, Massimo, Mogetta, Alessandro, Meiburger, Kristen M., Gambella, Alessandro, Molinaro, Luca, Barreca, Antonella, Papotti, Mauro, Molinari, Filippo

“… In the present paper, the authors present a fully automated algorithm, called RENFAST (Rapid EvaluatioN of Fibrosis And vesselS Thickness…”
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fast, fully automated cell segmentation algorithm for high-throughput and high-content screening Autor Fenistein, D, Lenseigne, B, Christophe, T, Brodin, P, Genovesio, A

“… Time and robustness are paramount while accuracy is intrinsically statistical. In this article, a fast and fully automated algorithm for cell segmentation is proposed…”
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Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage Autor 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 Autor 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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Validation of a fully automated liver segmentation algorithm using multi-scale deep reinforcement learning and comparison versus manual segmentation Autor Winkel, David J., Weikert, Thomas J., Breit, Hanns-Christian, Chabin, Guillaume, Gibson, Eli, Heye, Tobias J., Comaniciu, Dorin, Boll, Daniel T.

“… To evaluate the performance of an artificial intelligence (AI) based software solution tested on liver volumetric analyses and to compare the results to the manual contour segmentation…”
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Fully automated segmentation of the corticospinal tract using the TractSeg algorithm in patients with brain tumors Autor Richards, Tyler J., Anderson, Keri L., Anderson, Jeffrey S.

“… The objective is to validate a fully automated pipeline using the TractSeg algorithm (Wasserthal et al. NeuroImage 2018;183:239–253) to segment the corticospinal tract in patients with brain tumors adjacent to the corticospinal tract…”
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Fully Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images With Diabetic Macular Edema Using Neutrosophic Sets and Graph Algorithms Autor Rashno, Abdolreza, Koozekanani, Dara D., Drayna, Paul M., Nazari, Behzad, Sadri, Saeed, Rabbani, Hossein, Parhi, Keshab K.

“…This paper presents a fully automated algorithm to segment fluid-associated (fluid-filled) and cyst regions in optical coherence tomography…”
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Fully automated segmentation of the left ventricle in cine cardiac MRI using neural network regression Autor Tan, Li Kuo, McLaughlin, Robert A., Lim, Einly, Abdul Aziz, Yang Faridah, Liew, Yih Miin

“… Purpose To develop and validate a fully automated neural network regression‐based algorithm for segmentation of the LV in cardiac MRI, with full coverage from apex…”
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Crossword: A Fully Automated Algorithm for the Segmentation and Quality Control of Protein Microarray Images Autor Gierahn, Todd M, Loginov, Denis, Love, J. Christopher

“… In order to automate the extraction and curation of data from protein microarrays, we describe an algorithm called Crossword that logically combines information from multiple approaches to fully…”
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Liver Steatosis Categorization on Contrast-Enhanced CT Using a Fully Automated Deep Learning Volumetric Segmentation Tool: Evaluation in 1204 Healthy Adults Using Unenhanced CT as a Reference Standard Autor Pickhardt, Perry J, Blake, Glen M, Graffy, Peter M, Sandfort, Veit, Elton, Daniel C, Perez, Alberto A, Summers, Ronald M

“… CT using a fully automated deep learning volumetric hepatosplenic segmentation algorithm and unenhanced…”
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Fully-automated multi-organ segmentation tool applicable to both non-contrast and post-contrast abdominal CT: deep learning algorithm developed using dual-energy CT images Autor Jeon, Sun Kyung, Joo, Ijin, Park, Junghoan, Kim, Jong-Min, Park, Sang Joon, Yoon, Soon Ho

“…A novel 3D nnU-Net-based of algorithm was developed for fully-automated multi-organ segmentation in abdominal CT, applicable to both non-contrast and post-contrast images…”
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Fully automated waist circumference measurement on abdominal CT: Comparison with manual measurements and potential value for identifying overweight and obesity as an adjunct output of CT scan Autor Joo, Ijin, Kwak, Min-Sun, Park, Dae Hyun, Yoon, Soon Ho

“… We investigated a fully automated body segmentation algorithm for measuring WC on abdominal computed tomography (CT…”
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Semi/Fully-Automated Segmentation of Gastric-Polyp Using Aquila-Optimization-Algorithm Enhanced Images Autor Rajinikanth, Venkatesan, Mohamed Aslam, Shabnam, Kadry, Seifedine, Thinnukool, Orawit

“… The proposed research aims to implement a joint thresholding and segmentation framework to extract the Gastric-Polyp (GP…”
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A fully-automated, robust, and versatile algorithm for long-term budding yeast segmentation and tracking Autor Wood, N. Ezgi, Doncic, Andreas

“… and/or necessitate manual correction. Here we introduce a fully automated, fast and robust segmentation and tracking algorithm for budding…”
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Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks Autor Krüger, Julia, Ostwaldt, Ann-Christin, Spies, Lothar, Geisler, Benjamin, Schlaefer, Alexander, Kitzler, Hagen H., Schippling, Sven, Opfer, Roland

“… To overcome some of these problems, we propose a fully automated lesion segmentation algorithm using 3D convolutional neural networks (CNNs…”
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A fully automated approach for baby cry signal segmentation and boundary detection of expiratory and inspiratory episodes Autor Abou-Abbas, Lina, Tadj, Chakib, Fersaie, Hesam Alaie

“…)-based cry segmentation system in noisy environments is studied. A fully automated segmentation algorithm to extract cry sound components, namely, audible expiration and inspiration, is introduced…”
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Fully automated segmentation of callus by micro-CT compared to biomechanics Autor 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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Fully automated tumor segmentation based on improved fuzzy connectedness algorithm in brain MR images Autor Harati, Vida, Khayati, Rasoul, Farzan, Abdolreza

“…; hence, finding an accurate and a fully automated method to give information to physicians is necessary…”
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Fully-automated approach to hippocampus segmentation using a graph-cuts algorithm combined with atlas-based segmentation and morphological opening Autor Kwak, Kichang, Yoon, Uicheul, Lee, Dong-Kyun, Kim, Geon Ha, Seo, Sang Won, Na, Duk L., Shim, Hack-Joon, Lee, Jong-Min

“… In this study, an automated hippocampal segmentation method based on a graph-cuts algorithm combined with atlas-based segmentation and morphological opening was proposed…”
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Fully Automated 3D Segmentation and Diffeomorphic Medial Modeling of the Left Ventricle Mitral Valve Complex in Ischemic Mitral Regurgitation Autor Aly, Ahmed H., Khandelwal, Pulkit, Aly, Abdullah H., Kawashima, Takayuki, Mori, Kazuki, Saito, Yoshiaki, Hung, Judy, Gorman, Joseph H., Pouch, Alison M., Gorman, Robert C., Yushkevich, Paul A.

“… leaflets during shape modeling. In this study, we develop and validate a fully automated algorithm for segmentation and shape modeling of the left ventricular mitral valve complex from pre-operative 3D transesophageal echocardiography…”
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