作者: Feigned 時(shí)間: 2025-3-21 21:18 作者: deviate 時(shí)間: 2025-3-22 03:11 作者: 抑制 時(shí)間: 2025-3-22 05:22 作者: 明智的人 時(shí)間: 2025-3-22 12:34 作者: 失敗主義者 時(shí)間: 2025-3-22 14:33 作者: Ataxia 時(shí)間: 2025-3-22 20:32 作者: Mhc-Molecule 時(shí)間: 2025-3-23 01:00 作者: preservative 時(shí)間: 2025-3-23 02:46 作者: 多節(jié) 時(shí)間: 2025-3-23 09:03 作者: echnic 時(shí)間: 2025-3-23 11:17 作者: Flustered 時(shí)間: 2025-3-23 16:02
Localization of 3D Anatomical Structures Using Random Forests and Discrete Optimization problem the most probable locations for each model landmark are found in the query volume. On a set of 8 hand CTs we show that this approach is able to consistently localize the model landmarks (finger tips, joints, etc) despite the complex and repetitive structure of the object.作者: 流行 時(shí)間: 2025-3-23 19:24
Detection of 3D Spinal Geometry Using Iterated Marginal Space Learningelects the most likely candidates using a learned prior on the individual nine dimensional transformation spaces. Since the proposed approach is learning-based it can be trained for MR or CT alike. Experimental results based on 42 MR volumes show that our system not only achieves superior accuracy b作者: 松雞 時(shí)間: 2025-3-23 23:07
Regression Forests for Efficient Anatomy Detection and Localization in CT Studiese CT scans. Localization errors are shown to be lower (and more stable) than those from global affine registration approaches. The regressor’s parallelism and the simplicity of its context-rich visual features yield typical runtimes of only 1.. Applications include semantic visual navigation, image 作者: 要塞 時(shí)間: 2025-3-24 03:56 作者: 去才蔑視 時(shí)間: 2025-3-24 09:27 作者: 議程 時(shí)間: 2025-3-24 11:31
Simultaneous Multi-object Segmentation Using Local Robust Statistics and Contour Interactionte these drawbacks as follows. First, local robust statistics are used to describe the object features, which are learned adaptively from user provided seeds. Second, several active contours evolve simultaneously with their interactions being governed by simple principles derived from mechanics. Thi作者: 對(duì)手 時(shí)間: 2025-3-24 17:39
René Donner,Erich Birngruber,Helmut Steiner,Horst Bischof,Georg Langs作者: Limousine 時(shí)間: 2025-3-24 20:41
B. Michael Kelm,S. Kevin Zhou,Michael Suehling,Yefeng Zheng,Michael Wels,Dorin Comaniciu作者: CAJ 時(shí)間: 2025-3-25 01:52
Antonio Criminisi,Jamie Shotton,Duncan Robertson,Ender Konukoglu作者: Hemiparesis 時(shí)間: 2025-3-25 04:42 作者: notion 時(shí)間: 2025-3-25 09:51 作者: Additive 時(shí)間: 2025-3-25 14:50 作者: laceration 時(shí)間: 2025-3-25 16:57 作者: 有惡意 時(shí)間: 2025-3-25 20:57 作者: 細(xì)微差別 時(shí)間: 2025-3-26 03:04
Iterative Training of Discriminative Models for the Generalized Hough Transformd the most confusable locations. In an iterative procedure, the training set is gradually enhanced by images from the development set on which the localization failed. The proposed technique is shown to substantially improve the object localization capabilities on long-leg radiographs.作者: 弄臟 時(shí)間: 2025-3-26 08:00
Surgical Phases Detection from Microscope Videos by Combining SVM and HMMwhere six phases were identified by neurosurgeons. Cross-validation studies permitted to find a percentage of detected phases of 93% that will allow the use of the system in clinical applications such as post-operative videos indexation.作者: nerve-sparing 時(shí)間: 2025-3-26 12:24 作者: 解決 時(shí)間: 2025-3-26 13:27
Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lungssifier systems helps to improve the results compared to single SVMs, combining over different texton sizes is not beneficial. The performance of the proposed system, with an accuracy of 95%, is similar to a recently proposed approach based on local binary patterns, which performs almost the best among other approaches in the literature.作者: RAGE 時(shí)間: 2025-3-26 20:52
Semisupervised Probabilistic Clustering of Brain MR Images Including Prior Clinical Informationmethods is performed. We show that the use of a limited amount of prior knowledge about cluster memberships can contribute to a better clustering performance in certain applications, while on the other hand the semisupervised clustering is quite robust to incorrect prior clustering knowledge.作者: 昏暗 時(shí)間: 2025-3-26 22:28 作者: 誘導(dǎo) 時(shí)間: 2025-3-27 01:22 作者: 獸群 時(shí)間: 2025-3-27 06:48 作者: 法官 時(shí)間: 2025-3-27 11:03
Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Anacation of multi-parametric imaging phenotypic properties that have superior diagnostic and prognostic value as compared to currently used morphometric measurements. We evaluate our system for predicting treatment response of breast cancer patients undergoing neoadjuvant chemotherapy using a series of MRI acquisitions.作者: ASSAY 時(shí)間: 2025-3-27 14:51
Conference proceedings 2011ijing, China, in September 2010 as a satellite event of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2010.The 10 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 38 initial submissions. The作者: 不如樂死去 時(shí)間: 2025-3-27 20:22
Topology Noise Removal for Curve and Surface Evolutionet function. This method differs from existing methods in that it is inherently continuous and not digital; and in the way that our energy directly relates to the topology of the underlying curve or surface, versus existing knot-based measures which are related in a more indirect fashion. The proposed flow is validated empirically.作者: Defense 時(shí)間: 2025-3-28 01:53 作者: cardiopulmonary 時(shí)間: 2025-3-28 05:03
Conference proceedings 2011 papers explore the use of modern image recognition technology in tasks such assemantic anatomy parsing, automatic segmentation and quantification, anomaly detection and categorization, data harvesting, semantic navigation and visualization, data organization and clustering, andgeneral-purpose automatic understanding of medical images.作者: breadth 時(shí)間: 2025-3-28 09:55 作者: Tracheotomy 時(shí)間: 2025-3-28 11:09 作者: echnic 時(shí)間: 2025-3-28 17:45 作者: 只有 時(shí)間: 2025-3-28 20:26
Kersten Petersen,Mads Nielsen,Sami S. Brandter wichtigsten Ergebnisse und Methoden der Optimierungstheorie abgeschlossen. Es war das Ziel, Wirtschaftswissenschaftlern einen Einblick in dieses Teilgebiet des Operations Research zu verschaffen. Hieraus ergaben sich folgende Randbedingungen, die bei der Auswahl und der Pr?sentation des Stoffes z作者: 討好女人 時(shí)間: 2025-3-29 00:24
Sajjad Baloch,Alexander Zouhar,Tong Fangrwiegendste Sp?tfolge der Osteoporose stellen proximale Femurfrakturen dar (Wasnish 1999). Das gesch?tzte Lebenszeitrisiko für eine 50j?hrige ethnisch wei?e Frau, eine Hüftfraktur zu erleiden, betr?gt 17,5%. Für M?nner gleichen Alters liegt das Risiko bei 6%. Die Lebenszeitfrakturrisikoraten für Wir作者: 起皺紋 時(shí)間: 2025-3-29 04:09 作者: Thyroid-Gland 時(shí)間: 2025-3-29 07:55
Chao Chen,Daniel Freedmansch?ftigt. Die übergeordnete Zielsetzung besteht darin, die Summe der Wartezeiten von LKW, die an einem speziellen, durch zwei Portalkr?ne bedienten Terminal be-oder entladen werden, zu minimieren. Nach einer Darstellung der Problemstellung im folgenden Abschnitt 9.1 werden hierzu einige theoretisch作者: CODE 時(shí)間: 2025-3-29 14:09 作者: 調(diào)整校對(duì) 時(shí)間: 2025-3-29 17:36 作者: SEEK 時(shí)間: 2025-3-29 22:45 作者: nurture 時(shí)間: 2025-3-30 03:26
Frederik O. Kaster,Bjoern H. Menze,Marc-André Weber,Fred A. Hamprechtsch?ftigt. Die übergeordnete Zielsetzung besteht darin, die Summe der Wartezeiten von LKW, die an einem speziellen, durch zwei Portalkr?ne bedienten Terminal be-oder entladen werden, zu minimieren. Nach einer Darstellung der Problemstellung im folgenden Abschnitt 9.1 werden hierzu einige theoretisch作者: 分貝 時(shí)間: 2025-3-30 06:42 作者: invulnerable 時(shí)間: 2025-3-30 10:54
Conditional Point Distribution Modelsis technique is suited for sample-based segmentation methods that rely on a PDM, . [6], [2] and [3]. It enables these algorithms to effectively constrain the solution space by considering a small number of user inputs – often one or two landmarks are sufficient. The algorithm is easy to implement, h作者: JAUNT 時(shí)間: 2025-3-30 13:02
Deformable Registration of Organic Shapes via Surface Intrinsic Integrals: Application to Outer Ear established by means of a rich surface descriptor that incorporates three categories of features: (1) local and regional geometry; (2) surface anatomy; and (3) global shape information. First, surface intrinsic, ., are exploited to constrain the global geodesic layout. Consequently, the resulting tr作者: flourish 時(shí)間: 2025-3-30 19:04 作者: Finasteride 時(shí)間: 2025-3-30 23:21 作者: 我要威脅 時(shí)間: 2025-3-31 04:07
Exploring Cortical Folding Pattern Variability Using Local Image Featuresta-driven technique for automatically learning cortical folding patterns from MR brain images. A local image feature-based model is learned using machine learning techniques, to describe brain images as a collection of independent, co-occurring, distinct, localized image features which may not be pr作者: dithiolethione 時(shí)間: 2025-3-31 05:11 作者: 良心 時(shí)間: 2025-3-31 09:26
Motion Artifact Reduction in 4D Helical CT: Graph-Based Structure Alignmenteathing, images from different respiratory periods may be misaligned, thus the acquired 3D data may not accurately represent the anatomy. In this paper, we propose a method based on graph algorithms to reduce the magnitude of artifacts present in helical 4D CT images. The method strives to reduce th作者: Entirety 時(shí)間: 2025-3-31 17:11
Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotay human experts, which may show considerable intra-rater and inter-rater variability. We experimentally evaluate several latent class and latent score models for tumor classification based on manual segmentations of different quality, using approximate variational techniques for inference. For the f作者: fallible 時(shí)間: 2025-3-31 20:19
Localization of 3D Anatomical Structures Using Random Forests and Discrete Optimizationd matching based on discrete optimization. During training landmarks are annotated in a set of example volumes. A sparse elastic model encodes the geometric constraints of the landmarks. A Random Forest classifier learns the local appearance around the landmarks based on Haar-like 3D descriptors. Du作者: declamation 時(shí)間: 2025-4-1 01:36
Detection of 3D Spinal Geometry Using Iterated Marginal Space Learningination with Computed Tomography (CT) and Magnetic Resonance (MR) imaging. It is particularly important for the standardized alignment of the scan geometry with the spine. In this paper, we present a novel method that combines Marginal Space Learning (MSL), a recently introduced concept for efficien作者: labile 時(shí)間: 2025-4-1 04:08
Regression Forests for Efficient Anatomy Detection and Localization in CT Studiesures within three-dimensional CT scans..Regression forests are similar to the more popular classification forests, but trained to predict . outputs. We introduce a new, continuous parametrization of the anatomy localization task which is effectively addressed by regression forests. This is shown to 作者: entail 時(shí)間: 2025-4-1 08:58
Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positivection of ICV is of great clinical value for removing false positive (FP) findings in computer aided diagnosis (CAD) of colon cancers using CT colongraphy (CTC) [1,2,3]. However full 3D object detection, especially for small objects with large shape and pose variations as ICV, is very challenging. Th作者: fabricate 時(shí)間: 2025-4-1 12:27 作者: induct 時(shí)間: 2025-4-1 18:15 作者: 人類學(xué)家 時(shí)間: 2025-4-1 20:10
