標(biāo)題: Titlebook: Machine Learning in Medical Imaging; Third International Fei Wang,Dinggang Shen,Kenji Suzuki Conference proceedings 2012 Springer-Verlag B [打印本頁(yè)] 作者: interleukins 時(shí)間: 2025-3-21 19:52
書目名稱Machine Learning in Medical Imaging影響因子(影響力)
書目名稱Machine Learning in Medical Imaging影響因子(影響力)學(xué)科排名
書目名稱Machine Learning in Medical Imaging網(wǎng)絡(luò)公開度
書目名稱Machine Learning in Medical Imaging網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning in Medical Imaging被引頻次
書目名稱Machine Learning in Medical Imaging被引頻次學(xué)科排名
書目名稱Machine Learning in Medical Imaging年度引用
書目名稱Machine Learning in Medical Imaging年度引用學(xué)科排名
書目名稱Machine Learning in Medical Imaging讀者反饋
書目名稱Machine Learning in Medical Imaging讀者反饋學(xué)科排名
作者: farewell 時(shí)間: 2025-3-21 21:00
Machine Learning in Medical Imaging978-3-642-35428-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: dowagers-hump 時(shí)間: 2025-3-22 00:34 作者: 亞當(dāng)心理陰影 時(shí)間: 2025-3-22 06:10 作者: DALLY 時(shí)間: 2025-3-22 09:55
https://doi.org/10.1007/978-3-642-35428-13D; image classification; image registration; image segmentation; weakly supervised learning作者: PRO 時(shí)間: 2025-3-22 15:27
ta should provide a good measurement of who participates, for what reasons and in what types of education and training activities. But furthermore, it is also crucial that data about education and training opportunities and social policy indicators are available, which can be matched with the indivi作者: 弓箭 時(shí)間: 2025-3-22 17:05
Mehdi Moradi,Christian Wachinger,Andriy Fedorov,William M. Wells,Tina Kapur,Luciant D. Wolfsberger,P (IPBES) to examine the Convention for Biological Diversity (CBD) theme of Cities and Biodiversity in the Indian metropolitan cities of Chennai and Bengaluru. The focus is one element of the IPBES_CF in particular, ‘Institutions and governance and other indirect drivers’. These cities, with populati作者: 商品 時(shí)間: 2025-3-23 00:33
Manhua Liu,Daoqiang Zhang,Pew-Thian Yap,Dinggang Shennization and impact on morbidity-mortality rates, and in the health status of the population. Such trends point out that becoming ill is closely related to socioeconomic-environmental conditions, and also leads to a series of challenges for defining strategic plans of Multilateral Government Agencie作者: 主動(dòng)脈 時(shí)間: 2025-3-23 04:34 作者: 神圣在玷污 時(shí)間: 2025-3-23 07:09
Shu Liao,Daoqiang Zhang,Pew-Thian Yap,Guorong Wu,Dinggang Shenind performs at peak, and when it is absent the mind is in a state of deterioration. Increasingly research supports the Biophilia Hypothesis: studies show that a connection to Nature provides psychological, physical, and emotional benefits. Concurrently, the world’s urban population is rapidly growi作者: 容易懂得 時(shí)間: 2025-3-23 10:36 作者: cardiac-arrest 時(shí)間: 2025-3-23 17:12
Santiago Suniaga,Rene Werner,Andre Kemmling,Michael Groth,Jens Fiehler,Nils Daniel Forkert how capability underpins effective 21st century Lifelong Le.The book offers a well-grounded vision of the significant theory and application of the concept of Capability as a lifecourse and lifespan development. Capability is argued to be a necessary 21st century process and outcome (PROUT) of all 作者: PRISE 時(shí)間: 2025-3-23 21:33 作者: enormous 時(shí)間: 2025-3-24 01:19
Juliette Conrath,Catherine Laporte a confusion and lack of understanding of the scope and meaning of LLL, which is further compounded by interchangeably using the two terminologies of education and LLL. A better understanding of the meaning and scope of LLL helps clarify the meaning and scope of LLL for poverty reduction through com作者: 指耕作 時(shí)間: 2025-3-24 04:06 作者: diabetes 時(shí)間: 2025-3-24 06:53 作者: 歡樂中國(guó) 時(shí)間: 2025-3-24 11:15 作者: FUSE 時(shí)間: 2025-3-24 17:22
Jieqiong Wang,Dai Dai,Meng Li,Jing Hua,Huiguang Heevelopment and they include the list below: Principles of Business Management; Records and Bookkeeping for Small Businesses; Poultry Management; Good Governance for Board of Trustees; Traditional Leaders, Restaurant Hotel Management; Hotel Management; Cooperative Management; Restaurant Management; E作者: Jacket 時(shí)間: 2025-3-24 22:32
Roberto D’Ambrosio,Wafa Bel Haj Ali,Richard Nock,Paolo Soda,Frank Nielsen,Michel Barlaud absolute tour de force. Alexandra Withnall, Universities of Warwick and Leicester, UK.This is a book that needed to be written: it provides a most thorough and skilful analysis of a comprehensive range of contemporary literature about learning in later life from many localities and countries of the作者: Vasodilation 時(shí)間: 2025-3-24 23:42 作者: 同來核對(duì) 時(shí)間: 2025-3-25 03:46
Loizos Markides,Duncan Fyfe Gilliesof theory and practice in lifelong learning as it relates to later life is an absolute tour de force. Alexandra Withnall, Universities of Warwick and Leicester, UK.This is a book that needed to be written: it provides a most thorough and skilful analysis of a comprehensive range of contemporary lite作者: laceration 時(shí)間: 2025-3-25 07:29 作者: 參考書目 時(shí)間: 2025-3-25 15:35
Ayd?n Ula?,Mehmet G?nen,Umberto Castellani,Vittorio Murino,Marcella Bellani,Michele Tansella,Paolo B absolute tour de force. Alexandra Withnall, Universities of Warwick and Leicester, UK.This is a book that needed to be written: it provides a most thorough and skilful analysis of a comprehensive range of contemporary literature about learning in later life from many localities and countries of the作者: Merited 時(shí)間: 2025-3-25 18:08 作者: SPALL 時(shí)間: 2025-3-25 21:53
Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries,d or manually specified coronary ostium. No or little high level prior information is used; therefore, the centerline tracing procedure may terminate early at a severe occlusion or an anatomically inconsistent centerline course may be generated. In this work, we propose a model-driven approach to ex作者: 憤慨一下 時(shí)間: 2025-3-26 03:48 作者: 尖牙 時(shí)間: 2025-3-26 05:44
,Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer’s Disease,sease (AD). Most existing methods aimed to extract discriminative features from neuroimaging data and then build a supervised classifier for classification. However, due to the rich imaging features and small sample size of neuroimaging data, it is still challenging to make use of features to achiev作者: Blasphemy 時(shí)間: 2025-3-26 10:07
Dense Deformation Reconstruction via Sparse Coding,e landmark points. Previous methods generally use a certain pre-defined deformation model, e.g., B-Spline or Thin-Plate Spline, for dense deformation interpolation, which may affect the final registration accuracy since the actual deformation may not exactly follow the pre-defined model. To address 作者: thwart 時(shí)間: 2025-3-26 14:01 作者: 方舟 時(shí)間: 2025-3-26 17:01 作者: expository 時(shí)間: 2025-3-26 23:55 作者: JUST 時(shí)間: 2025-3-27 05:12
Data Driven Constraints for the SVM,ically on the human ear canal. This is particularly interesting in dynamic cases such as tissue movement or pathologies developing over time. Assuming that two observations of the same subject in different states span a vector, we hypothesise that such structure of the data contains implicit informa作者: enormous 時(shí)間: 2025-3-27 08:21
Towards Improving the Accuracy of Sensorless Freehand 3D Ultrasound by Learning,external position sensor. Conventionally, in-plane motion is compensated by maximizing image correlation. Out-of-plane motion is then estimated using a calibrated model of elevational speckle decorrelation. This approach is prone to systematic error due to interactions between the effects of in-plan作者: Largess 時(shí)間: 2025-3-27 11:35
A Novel 3D Joint MGRF Framework for Precise Lung Segmentation, (CT) is proposed. The CT images, Gaussian Scale Space (GSS) data generation using Gaussian Kernels (GKs), and desired maps of regions (lung and the other chest tissues) are described by a joint Markov-Gibbs Random Field (MGRF) model of independent image signals and interdependent region labels impl作者: 蜈蚣 時(shí)間: 2025-3-27 17:15 作者: 緯線 時(shí)間: 2025-3-27 20:15 作者: 搖曳 時(shí)間: 2025-3-27 23:14
Human Age Estimation with Surface-Based Features from MRI Images,pose a novel regression model with surface-based features to estimate the human age automatically and accurately. First, individual regional surface-based features (thickness, mean curvature, Gaussian curvature and surface area) from the MRI image were extracted, which were subsequently used to cons作者: 榨取 時(shí)間: 2025-3-28 02:18 作者: 自負(fù)的人 時(shí)間: 2025-3-28 09:21
Simultaneous Registration and Segmentation by L1 Minimization,one of the images is well segmented by automated algorithm or user interaction. This image acts as an atlas for the segmentation process. For the remaining images in the set, we propose a novel L1 minimization based technique, which leverages the fact that the other image is not closely segmented bu作者: dry-eye 時(shí)間: 2025-3-28 11:56
On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants,classification, can aid the detection of groups of informative voxels that can be used to discriminate between competing stimuli. Networks of features have been long extracted univariately but recently researchers have turned to the development of multivariate techniques that also move from being pu作者: STEER 時(shí)間: 2025-3-28 15:15 作者: Motilin 時(shí)間: 2025-3-28 21:12 作者: 掙扎 時(shí)間: 2025-3-29 02:13
Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probabi Neighbours classifier, and applying two different reconstruction rules for each of the aforementioned classification paradigms. The results on one private and five public biomedical datasets show satisfactory performance.作者: 膽大 時(shí)間: 2025-3-29 05:31
0302-9743 ional Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. .The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific re作者: 脆弱吧 時(shí)間: 2025-3-29 07:22
Conference proceedings 2012ion with MICCAI 2012, in Nice, France, in October 2012. .The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses o作者: affect 時(shí)間: 2025-3-29 14:15 作者: Flinch 時(shí)間: 2025-3-29 17:36 作者: Explicate 時(shí)間: 2025-3-29 22:07 作者: 橫截,橫斷 時(shí)間: 2025-3-30 00:04
Simultaneous Registration and Segmentation by L1 Minimization,mulation to multiple image registration and segmentation by introducing a low rank prior on the error matrix. We compare against rigid as well as non-rigid registration techniques. We present results on multi-modal real medical data.作者: Fecundity 時(shí)間: 2025-3-30 05:54 作者: Glutinous 時(shí)間: 2025-3-30 08:55 作者: WATER 時(shí)間: 2025-3-30 13:52
Conference proceedings 2012. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.作者: Delectable 時(shí)間: 2025-3-30 20:02 作者: 喃喃訴苦 時(shí)間: 2025-3-31 00:29
Sune Darkner,Line H. Clemmensen to include learning of some aspects in depth, that is, Lifedeep learning. An understanding of the impact of technology, as a significant element in human learning beyond being operational tools, as Lifetech le978-3-031-68242-1978-3-031-68240-7Series ISSN 1871-322X Series E-ISSN 2730-5325 作者: 察覺 時(shí)間: 2025-3-31 02:23 作者: UTTER 時(shí)間: 2025-3-31 07:01 作者: Anticlimax 時(shí)間: 2025-3-31 11:27
Transductive Prostate Segmentation for CT Image Guided Radiotherapy, image. The final segmentation result is obtained by aligning the manually segmented prostate regions of the planning and previous treatment images, onto the estimated prostate-likelihood map of the current treatment image for majority voting. The proposed method has been evaluated on a real prostat作者: comely 時(shí)間: 2025-3-31 16:26 作者: BROW 時(shí)間: 2025-3-31 18:50
MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra,ostate gland in both MRI and ultrasound. This method is developed to transfer the diagnostic references from MRI to US for training and validation of the proposed ultrasound-based prostate tissue classification technique. It yields a target registration error of 3.5±2.1?mm. We also report its use fo作者: 薄膜 時(shí)間: 2025-3-31 21:52
,Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer’s Disease,ifiers are generated, with each evaluating the high-level features of different brain regions. Finally, all high-level classifiers are combined to make final decision. Our method is evaluated using MR brain images on 427 subjects (including 198 AD patients and 229 normal controls) from Alzheimer’s D作者: 決定性 時(shí)間: 2025-4-1 02:49
Dense Deformation Reconstruction via Sparse Coding,ation method and obtain correspondences on a fixed set of landmarks in the template, as well as the respective dense deformation field. Then, we can build two dictionaries to, respectively, save the landmark correspondences and their dense deformations from all training images at the same indexing o作者: 畫布 時(shí)間: 2025-4-1 07:18 作者: Gastric 時(shí)間: 2025-4-1 10:41
Sparse Patch-Guided Deformation Estimation for Improved Image Registration,o the template in the training stage, the following three steps can be used to register any given subject image. ., for each key point in the subject, we can construct a coupled dictionary from the nearby patches in the training images and their associated deformations, and can then use this diction作者: 不能平靜 時(shí)間: 2025-4-1 16:25
