Search Results - dynamic 2D shape segmentation

Shape matching by part alignment using extended chordal axis transform by Yasseen, Z., Verroust-Blondet, A., Nasri, A.

“…One of the main challenges in shape matching is overcoming intra-class variation where objects that are conceptually similar have significant geometric dissimilarity…”
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Feasibility of automated pancreas segmentation based on dynamic MRI by Gou, S, Wu, J, Liu, F, Lee, P, Rapacchi, S, Hu, P, Sheng, K

“… A hybrid gradient, region growth and shape constraint (hGReS) method to segment two-dimensional (2D…”
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Iterative mesh transformation for 3D segmentation of livers with cancers in CT images by Lu, Difei, Wu, Yin, Harris, Gordon, Cai, Wenli

“…•Dynamic-programming searches the 2D liver contours on CT images.•A semi-automated segmentation scheme for diseased livers is developed…”
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Tongue contour tracking in dynamic ultrasound via higher-order MRFs and efficient fusion moves by Tang, Lisa, Bressmann, Tim, Hamarneh, Ghassan

“…We propose a graph-based method that required minimal user interaction. We employ a graph whose nodes represent vertices of segmentation contours in individual frames, and whose edges captured intra- (spatial) and inter-frame (temporal…”
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SU‐E‐J‐168: Automated Pancreas Segmentation Based On Dynamic MRI by Gou, S, Rapacchi, S, Hu, P, Sheng, K

“… A hybrid gradient, region growth and shape constraint (hGReS) method to segment 2D upper abdominal dynamic MRI is developed for this purpose. Methods…”
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Dynamic Random Walk for Superpixel Segmentation by Kang, Xuejing, Zhu, Lei, Ming, Anlong

“…In this paper, we propose a novel random walk model, called Dynamic Random Walk (DRW), which adds a new type of dynamic node to the original RW model and reduces redundant calculation by limiting the walk range…”
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A shape-based method for automatic and rapid segmentation of roots in soil from X-ray computed tomography images: Rootine by Gao, Wei, Schlüter, Steffen, Blaser, Sebastian R. G. A., Shen, Jianbo, Vetterlein, Doris

“… However, employing X-ray CT to identify the spatio-temporal dynamics of RSA still remains a challenge due to non-automatic, time-consuming image processing protocols and their poor recovery of fine roots in soil…”
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WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects Under Occlusion by Vuong, Khiem, Reddy, N Dinesh, Tamburo, Robert, Narasimhan, Srinivasa G.

“… By leveraging off-the-shelf2D (bounding box, segmentation, keypoint) and 3D (pose, shape) predictions as pseudo-groundtruth, unoccluded 3D objects are identified…”
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CQformer: Learning Dynamics Across Slices in Medical Image Segmentation by Zhang, Shengjie, Shen, Xin, Chen, Xiang, Yu, Ziqi, Ren, Bohan, Yang, Haibo, Zhang, Xiao-Yong, Zhou, Yuan

“…Prevalent studies on deep learning-based 3D medical image segmentation capture the continuous variation across 2D slices mainly via convolution, Transformer, inter-slice interaction, and time series models…”
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A Nonrigid Kernel-Based Framework for 2D-3D Pose Estimation and 2D Image Segmentation by Sandhu, R, Dambreville, S, Yezzi, A, Tannenbaum, A

“…, cars, boats, or planes). Thus, we propose to solve the 2D-3D pose estimation and 2D image segmentation via nonlinear manifold learning of 3D embedded shapes for a general class of objects or deformations for which one…”
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Automatic upper airway segmentation in static and dynamic MRI via anatomy‐guided convolutional neural networks by Xie, Lipeng, Udupa, Jayaram K., Tong, Yubing, Torigian, Drew A., Huang, Zihan, Kogan, Rachel M., Wootton, David, Choy, Kok R., Sin, Sanghun, Wagshul, Mark E., Arens, Raanan

“… However, the complex variability of intensity and shape of anatomical structures and different modes of image acquisition commonly used in this application makes automatic upper airway segmentation challenging…”
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Automatic segmentation and implicit surface representation of dynamic cardiac data by Thai, Andy, Gradus-Pizlo, Irmina, Pizlo, Zygmunt, Sahin, Hakan, Gopi, M.

“…Segmentation of anatomical structures on 2D images of cardiac exams is necessary for performing 3D volumetric analysis, enabling the computation of parameters for diagnosing cardiovascular disease…”
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Echocardiography Segmentation With Enforced Temporal Consistency by Painchaud, Nathan, Duchateau, Nicolas, Bernard, Olivier, Jodoin, Pierre-Marc

“… In this paper, we propose a framework to learn the 2D+time apical long-axis cardiac shape such that the segmented sequences can benefit from temporal and anatomical consistency constraints…”
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Statistical shape modeling predicts patellar bone geometry to enable stereo-radiographic kinematic tracking by Smoger, Lowell M., Shelburne, Kevin B., Cyr, Adam J., Rullkoetter, Paul J., Laz, Peter J.

“… Kinematic measurements to assess these complications and evaluate implant designs require the accuracy of dynamic stereo-radiographic systems with 3D-2D registration techniques…”
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Learning Dynamic Collaborative Network for Semi-Supervised 3D Vessel Segmentation by Xu, Jiao, Chen, Xin, Zhang, Lihe

“…In this paper, we present a new dynamic collaborative network for semi-supervised 3D vessel segmentation, termed DiCo…”
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Mixed 2D and 3D convolutional network with multi-scale context for lesion segmentation in breast DCE-MRI by Wang, Hongyu, Cao, Jiaqi, Feng, Jun, Xie, Yilin, Yang, Di, Chen, Baoying

“…–temporal features of DCE-MRI is learned with the multi-channel image.•The segmentation performance of M2D3D-MC is better than other methods Breast lesion segmentation in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI…”
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Enhanced Human Segmentation from 2D LiDAR Data Using DBSCAN Clustering by Fikri, Muhammad Ainul, Riansyah, Moch. Iskandar, Rahmanti, Farah Zakiyah

“…This study presents a comprehensive approach to segmenting human objects in point cloud data generated by 2D LiDAR sensors within indoor environments, where challenges such as shape variability, noise…”
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Pomegranate: 2D segmentation and 3D reconstruction for fission yeast and other radially symmetric cells by Baybay, Erod Keaton, Esposito, Eric, Hauf, Silke

“… However, brightfield images only readily provide information for two-dimensional (2D) segmentation. In radially symmetric cells, such as fission yeast and many bacteria, this 2D segmentation can be computationally extruded into the third dimension…”
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Knee-Cartilage Segmentation and Thickness Measurement from 2D Ultrasound by Desai, Prajna, Hacihaliloglu, Ilker

“… Accurate, robust, and fully automatic US image-enhancement and cartilage-segmentation methods are needed in order to improve the widespread deployment of this imaging modality for knee-osteoarthritis…”
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Deformable spatio-temporal shape models: extending active shape models to 2D+time by Hamarneh, Ghassan, Gustavsson, Tomas

“… An active approach is used in segmentation where an initial ST-shape is deformed to better fit the data and the optimal proposed deformation is calculated using dynamic programming…”
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