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標題: Titlebook: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011; 14th International C Gabor Fichtinger,Anne Martel,Terry Peters Co [打印本頁]

作者: 兩邊在擴散    時間: 2025-3-21 17:47
書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011影響因子(影響力)




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011影響因子(影響力)學科排名




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011網(wǎng)絡公開度




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011網(wǎng)絡公開度學科排名




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011被引頻次




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011被引頻次學科排名




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011年度引用




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011年度引用學科排名




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011讀者反饋




書目名稱Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011讀者反饋學科排名





作者: Optic-Disk    時間: 2025-3-21 22:47

作者: 觀點    時間: 2025-3-22 02:41
Aggregated Distance Metric Learning (ADM) for Image Classification in Presence of Limited Training Draining sets are then combined for image classification. We present a theoretical proof of the superiority of classification by ADM over BDM. Using both clinical (X-ray) and non-clinical (toy car) images in our experiments (with altogether 10 sets of different parameters) and image classification ac
作者: 抗體    時間: 2025-3-22 04:47

作者: Jocose    時間: 2025-3-22 09:19
Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approachcollapsed segmentation cases. Our automatic approach is extensively evaluated using a large multi-site dataset of 195 patient cases in training and 223 cases for testing. No external examination on the correctness of colon segmentation topology [2] is needed. The results show that we achieve signifi
作者: 馬具    時間: 2025-3-22 14:40
Targeted Optical Biopsies for Surveillance Endoscopiesndoscopy into several scenes and establishing cluster correspondences accross these videos. During the second run surveillance (.), the scene recognition is performed in . and . based on the cluster correspondences. Detailed experimental results demonstrate the feasibility of the proposed approach w
作者: 載貨清單    時間: 2025-3-22 17:26
Focal Biologically Inspired Feature for Glaucoma Type Classificationd 84.3% images from angle closure glaucoma. The accuracy could be improved close to 90% with more images included in the training. The results show that the focal biologically inspired feature is effective for automatic glaucoma type classification. It can be used to reduce workload of ophthalmologi
作者: 抱怨    時間: 2025-3-22 22:44
Assessment of Regional Myocardial Function via Statistical Features in MR Imagesthe most descriptive. Then a Linear Support Vector Machine (SVM) classifier is employed for each of the regional myocardial segments to automatically detect abnormally contracting regions of the myocardium. Based on a clinical dataset of 30 subjects, the evaluation demonstrates that the proposed met
作者: 令人作嘔    時間: 2025-3-23 03:40
Simultaneous Segmentation and Grading of Hippocampus for Patient Classification with Alzheimer’s Disuccess rate of 89%. Finally, a comparison of several biomarkers was investigated using a linear discriminant analysis. Conclusion: Using the volume and the grade of the HC at the same time resulted in an efficient patient classification with a success rate of 90%.
作者: mettlesome    時間: 2025-3-23 05:51
Mariam Afshin,Ismail Ben Ayed,Kumaradevan Punithakumar,Max W. K. Law,Ali Islam,Aashish Goela,Ian Rosent survey of the relevant technologies and environment, and will be of benefit to AI researchers engaged with interface design, and practitioners in the area of cultural heritage support and marketing..978-3-642-08824-7978-3-540-68755-9Series ISSN 1611-2482 Series E-ISSN 2197-6635
作者: thyroid-hormone    時間: 2025-3-23 11:46
Hua Wang,Feiping Nie,Heng Huang,Shannon Risacher,Andrew J. Saykin,Li Shen,ADNIent survey of the relevant technologies and environment, and will be of benefit to AI researchers engaged with interface design, and practitioners in the area of cultural heritage support and marketing..978-3-642-08824-7978-3-540-68755-9Series ISSN 1611-2482 Series E-ISSN 2197-6635
作者: Lipoma    時間: 2025-3-23 14:53

作者: Frisky    時間: 2025-3-23 19:57

作者: noxious    時間: 2025-3-23 23:34
Philip W. Mewes,Dominik Neumann,Oleg Licegevic,Johannes Simon,Aleksandar Lj. Juloski,Elli Angelopoulent survey of the relevant technologies and environment, and will be of benefit to AI researchers engaged with interface design, and practitioners in the area of cultural heritage support and marketing..978-3-642-08824-7978-3-540-68755-9Series ISSN 1611-2482 Series E-ISSN 2197-6635
作者: defile    時間: 2025-3-24 03:16
Pierrick Coupé,Simon F. Eskildsen,José V. Manjón,Vladimir Fonov,D. Louis Collinsent survey of the relevant technologies and environment, and will be of benefit to AI researchers engaged with interface design, and practitioners in the area of cultural heritage support and marketing..978-3-642-08824-7978-3-540-68755-9Series ISSN 1611-2482 Series E-ISSN 2197-6635
作者: Abrupt    時間: 2025-3-24 07:25

作者: 嫌惡    時間: 2025-3-24 13:40

作者: 王得到    時間: 2025-3-24 16:21

作者: Spina-Bifida    時間: 2025-3-24 20:07

作者: peptic-ulcer    時間: 2025-3-25 00:52
Meizhu Liu,Le Lu,Xiaojing Ye,Shipeng Yu,Marcos Salganicoff
作者: BUMP    時間: 2025-3-25 07:02
Juan Eugenio Iglesias,Jiayan Jiang,Cheng-Yi Liu,Zhuowen Tu,the Alzheimers Disease Neuroimaging Initi
作者: 親密    時間: 2025-3-25 10:17

作者: Occlusion    時間: 2025-3-25 12:40

作者: 規(guī)范要多    時間: 2025-3-25 19:31
Selen Atasoy,Diana Mateus,Alexander Meining,Guang-Zhong Yang,Nassir Navab
作者: 同來核對    時間: 2025-3-25 23:21

作者: aerobic    時間: 2025-3-26 01:13
An Analysis of Scale and Rotation Invariance in the Bag-of-Features Method for Histopathological Imaby an expert pathologist, we achieve a classification accuracy of 88% with four subtypes. Our study shows that rotation invariance is more important than scale invariance but combining both properties gives better classification performance.
作者: right-atrium    時間: 2025-3-26 04:58
The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction free parameters during the training phase, and offers the additional advantage of producing probabilistic prediction outcomes. Experiments on age prediction from structural brain MRI indicate that RVoxM yields biologically meaningful models that provide excellent predictive accuracy.
作者: chalice    時間: 2025-3-26 09:31

作者: MIRTH    時間: 2025-3-26 14:00

作者: abject    時間: 2025-3-26 20:19
0302-9743 tation in three volumes. The third volume includes 82 papers organized in topical sections on computer-aided diagnosis and machine learning, and segmentation.978-3-642-23625-9978-3-642-23626-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 忍受    時間: 2025-3-27 00:47

作者: 讓你明白    時間: 2025-3-27 02:50

作者: 噱頭    時間: 2025-3-27 06:18

作者: byline    時間: 2025-3-27 12:28

作者: 結(jié)束    時間: 2025-3-27 13:44
Classification of Alzheimer’s Disease Using a Self-Smoothing Operatorroved accuracy for Alzheimer’s Disease over Diffusion Maps [2] and a popular metric learning approach [3]. State-of-the-art results are obtained in the classification of 120 brain MRIs from ADNI as normal, mild cognitive impairment, and Alzheimer’s.
作者: micronutrients    時間: 2025-3-27 18:04
Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regr among brain structure, cognition and disease status. Using the imaging and cognition data from Alzheimer’s Disease Neuroimaging Initiative , database, the effectiveness of the proposed method is demonstrated by clearly improved performance on predicting both cognitive scores and disease status.
作者: AMBI    時間: 2025-3-27 23:50
Regularized Tensor Factorization for Multi-Modality Medical Image Classificationted. We have validated our method on a multi-modal longitudinal brain imaging study. We compared this method with a publically available classification software based on SVM that has shown state-of-the-art classification rate in number of publications.
作者: TAP    時間: 2025-3-28 06:05
Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiographystep and a lumen cross-section estimation step using random regression forests. We show state-of-the-art performance of our method in experiments conducted on a set of 229 CCTA volumes. With an average processing time of 1.8 seconds per case after centerline extraction, our method is significantly faster than competing approaches.
作者: Bucket    時間: 2025-3-28 07:56
Automatic Region-of-Interest Segmentation and Pathology Detection in Magnetically Guided Capsule Endlgorithm was tested on 300 images of different patients with uniformly distributed occurrences of the target pathologies. We correctly segmented 84.72% of bubble areas. A mean detection rate of 86% for the target pathologies was achieved during a 5-fold leave-one-out cross-validation.
作者: AGATE    時間: 2025-3-28 10:32
Conference proceedings 2011lly selected 251 revised papers from 819 submissions for presentation in three volumes. The third volume includes 82 papers organized in topical sections on computer-aided diagnosis and machine learning, and segmentation.
作者: 物質(zhì)    時間: 2025-3-28 15:35

作者: adduction    時間: 2025-3-28 19:58

作者: 演講    時間: 2025-3-29 00:14
Regularized Tensor Factorization for Multi-Modality Medical Image Classification. The major goal is to use all modalities simultaneously to transform very high dimensional image to a lower dimensional representation in a discriminative way. In addition to being discriminative, the proposed approach has the advantage of being clinically interpretable. We propose a framework base
作者: Substance    時間: 2025-3-29 06:34

作者: arbovirus    時間: 2025-3-29 10:42
Aggregated Distance Metric Learning (ADM) for Image Classification in Presence of Limited Training D this approach is effective in the presence of large amounts of training data, classification accuracy will deteriorate when the number of training samples is small, which, unfortunately, is often the situation in several medical applications. We present a novel image classification method called .(
作者: Perigee    時間: 2025-3-29 13:22

作者: RAG    時間: 2025-3-29 17:42
A Discriminative-Generative Model for Detecting Intravenous Contrast in CT Imagesnreliability of the existing DICOM contrast metadata..The algorithm is based on a hybrid discriminative-generative probabilistic model. A discriminative detector localizes enhancing regions of interest in the scan. Then a generative classifier optimally fuses evidence gathered from those regions int
作者: elastic    時間: 2025-3-29 22:04

作者: expdient    時間: 2025-3-30 01:09
An Analysis of Scale and Rotation Invariance in the Bag-of-Features Method for Histopathological Imay the effect of scale and rotation invariance in the bag-of-features framework for Renal Cell Carcinoma subtype classification. We estimated the performance of different features by linear support vector machine over 10 iterations of 3-fold cross validation. For a very heterogeneous dataset labeled
作者: 蕁麻    時間: 2025-3-30 07:02
Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approachpolyps. In this paper, we propose a robust and automatic polyp prone-supine view matching method, to facilitate the regular CTC workflow where radiologists need to manually match the CAD findings in prone and supine CT scans for validation. Apart from previous colon registration approaches based on
作者: FEIGN    時間: 2025-3-30 09:40

作者: Discrete    時間: 2025-3-30 15:15

作者: Keratin    時間: 2025-3-30 16:43

作者: modifier    時間: 2025-3-30 21:17

作者: ungainly    時間: 2025-3-31 03:37
Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regrognitive measures, and disease status as isolated units. To enhance mechanistic understanding of AD, in this paper, we conduct a new study for identifying imaging biomarkers that are associated with both cognitive measures and AD. To achieve this goal, we propose a new sparse joint classification an
作者: Engaging    時間: 2025-3-31 08:48
Biological Indexes Based Reflectional Asymmetry for Classifying Cutaneous Lesionselanoma from benign nevi. A pigmentation elevation model of the biological indexes is first constructed, and then the asymmetry descriptor is computed by minimizing the histogram difference of the global point signatures of the pigmentation model. Melanin and Erythema Indexes are used instead of the
作者: CLOT    時間: 2025-3-31 12:57

作者: SLUMP    時間: 2025-3-31 17:16
Automatic Region-of-Interest Segmentation and Pathology Detection in Magnetically Guided Capsule Endc field. The quality of the examination depends on the operator’s ability to detect aspects of interest in real time. We present a novel two step computer-assisted diagnostic-procedure (CADP) algorithm for indicating gastritis and gastrointestinal bleedings in the stomach during the examination. Fir
作者: Pseudoephedrine    時間: 2025-3-31 21:10

作者: defeatist    時間: 2025-3-31 22:34

作者: placebo-effect    時間: 2025-4-1 04:21
Hua Wang,Feiping Nie,Heng Huang,Shannon Risacher,Andrew J. Saykin,Li Shen,ADNIs and their application.Includes supplementary material: .Personal Experience with Active Cultural Heritage, PEACH, is a large, interdisciplinary development project that explores the use of novel technologies for physical museum visits. Led by teams from ITC-irst, Trento and DFKI, Saarbrücken, the
作者: acquisition    時間: 2025-4-1 08:06
Zhao Liu,Lyndon Smith,Jiuai Sun,Melvyn Smith,Robert Warrs and their application.Includes supplementary material: .Personal Experience with Active Cultural Heritage, PEACH, is a large, interdisciplinary development project that explores the use of novel technologies for physical museum visits. Led by teams from ITC-irst, Trento and DFKI, Saarbrücken, the
作者: 草本植物    時間: 2025-4-1 12:19

作者: MIME    時間: 2025-4-1 14:21
Philip W. Mewes,Dominik Neumann,Oleg Licegevic,Johannes Simon,Aleksandar Lj. Juloski,Elli Angelopouls and their application.Includes supplementary material: .Personal Experience with Active Cultural Heritage, PEACH, is a large, interdisciplinary development project that explores the use of novel technologies for physical museum visits. Led by teams from ITC-irst, Trento and DFKI, Saarbrücken, the




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