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標題: Titlebook: Bildverarbeitung für die Medizin 2019; Algorithmen – System Heinz Handels,Thomas M. Deserno,Thomas Tolxdorff Conference proceedings 2019 Sp [打印本頁]

作者: 自由    時間: 2025-3-21 18:47
書目名稱Bildverarbeitung für die Medizin 2019影響因子(影響力)




書目名稱Bildverarbeitung für die Medizin 2019影響因子(影響力)學科排名




書目名稱Bildverarbeitung für die Medizin 2019網絡公開度




書目名稱Bildverarbeitung für die Medizin 2019網絡公開度學科排名




書目名稱Bildverarbeitung für die Medizin 2019被引頻次




書目名稱Bildverarbeitung für die Medizin 2019被引頻次學科排名




書目名稱Bildverarbeitung für die Medizin 2019年度引用




書目名稱Bildverarbeitung für die Medizin 2019年度引用學科排名




書目名稱Bildverarbeitung für die Medizin 2019讀者反饋




書目名稱Bildverarbeitung für die Medizin 2019讀者反饋學科排名





作者: LATER    時間: 2025-3-21 23:23
978-3-658-25325-7Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2019
作者: 山羊    時間: 2025-3-22 01:40

作者: 能夠支付    時間: 2025-3-22 05:45

作者: Infirm    時間: 2025-3-22 10:01
Abstract: Anchor-Constrained Plausibility,ing (dMRI). Facing fundamental ambiguities especially in bottleneck situations, tractography generates huge numbers of theoretically possible candidate tracts. Only a fraction of these candidates is likely to correspond to the true fiber configuration, posing a difficult sensitivity-specificity trade-off.
作者: indifferent    時間: 2025-3-22 16:47

作者: Silent-Ischemia    時間: 2025-3-22 17:34

作者: 亞麻制品    時間: 2025-3-23 01:05
Heinz Handels,Thomas M. Deserno,Thomas TolxdorffAktuelle Forschungsergebnisse.Deckt alle Bereiche der medizinischen Bildverarbeitung ab.Vertiefung der Gespr?che zwischen Wissenschaftlern, Industrie und Anwendern
作者: LANCE    時間: 2025-3-23 04:44
Informatik aktuellhttp://image.papertrans.cn/b/image/186207.jpg
作者: cumulative    時間: 2025-3-23 06:25
Bildverarbeitung für die Medizin 2019978-3-658-25326-4Series ISSN 1431-472X Series E-ISSN 2628-8958
作者: 表主動    時間: 2025-3-23 12:08

作者: 充滿人    時間: 2025-3-23 15:58
https://doi.org/10.1007/978-981-287-429-0e and fast deployment. Traditionally, the performance of a deep learning model is evaluated on a test dataset, originating from the same distribution as the training set. This evaluation method provides insight regarding the generalization ability of a model.
作者: BOGUS    時間: 2025-3-23 19:08

作者: 拉開這車床    時間: 2025-3-24 01:23

作者: hermetic    時間: 2025-3-24 04:00
‘Light’ in Malay ,: Is It Real?nding fundus images. The algorithm provides a robust method to detect BV shadows (BVSs) using Radon transformation and other supporting image processing methods. The position of the BVSs is determined in OCT scans and the BV thickness is measured in the fundus images. Additionally, the correlation b
作者: antenna    時間: 2025-3-24 09:30

作者: 消息靈通    時間: 2025-3-24 12:10

作者: Individual    時間: 2025-3-24 16:29

作者: GEON    時間: 2025-3-24 21:16

作者: Decimate    時間: 2025-3-24 23:38

作者: Mnemonics    時間: 2025-3-25 06:03

作者: 偽書    時間: 2025-3-25 07:44
Wiener Beitr?ge zur Islamforschungfrom diffusion MRI tractograms is time-consuming, requires expert knowledge and is hard to reproduce. Tract orientation mapping (TOM) is a novel concept that facilitates bundle-specific tractography based on a learned mapping from the original fiber orientation distribution function (fODF) peaks to
作者: Harness    時間: 2025-3-25 12:45

作者: 摻假    時間: 2025-3-25 15:57
https://doi.org/10.1007/978-3-658-18431-5. One common strategy is to augment the given dataset for increasing the amount of training data. Recent researches show that the generation of synthetic images is a possible strategy to expand datasets. Especially, generative adversarial networks (GAN)s are promising candidates for generating new a
作者: NOTCH    時間: 2025-3-25 23:00

作者: 向前變橢圓    時間: 2025-3-26 03:13
https://doi.org/10.1007/978-3-531-91021-5ent loss adaptation. The performance of our method regarding segmentation quality is evaluated on the example of hip joint segmentation in T1-weighted MRI data sets. The results are compared to an ordinary U-Net implementation. While the segmentation quality of the proximal femur does not significan
作者: 污穢    時間: 2025-3-26 06:08
https://doi.org/10.1007/978-3-531-91021-5nd volume size estimation method from clinical multi-modal medical images. The method utilizes atlas-model-based segmentation to estimate a transformation from a model to an input volume. The result is used to transform a well-defined segmentation and a points-set of a scala tympani to the input ima
作者: Insubordinate    時間: 2025-3-26 11:03

作者: Eclampsia    時間: 2025-3-26 14:07
Entwicklung des staates marokko,er structures can be accurately visualized with 3D-PLI, the currently used physical model (based on Jones Calculus) is not well suited to distinguish steep fibers from specific fiber crossings. Hence, streamline tractography algorithms tracing fiber pathways get easily misdirected in such brain regi
作者: aggrieve    時間: 2025-3-26 17:48
Entwicklung des staates marokko, are important factors in terms of early AD diagnosis and prognosis by clinicians. However, manual segmentation of such subcortical structures in MR studies is a challenging and subjective task. In this paper, we investigate variants of the well known 3D U-Net, a type of convolution neural network (
作者: elastic    時間: 2025-3-26 22:01

作者: 使苦惱    時間: 2025-3-27 03:21
Abstract: Anchor-Constrained Plausibility,ing (dMRI). Facing fundamental ambiguities especially in bottleneck situations, tractography generates huge numbers of theoretically possible candidate tracts. Only a fraction of these candidates is likely to correspond to the true fiber configuration, posing a difficult sensitivity-specificity trad
作者: 騎師    時間: 2025-3-27 06:53

作者: Minutes    時間: 2025-3-27 11:44
Prediction of Liver Function Based on DCE-CT,time, research regarding liver in the Medical Image Computing community is often focused on diagnosing and treating CLD’s long term effects such as the occurance of malignancies, e.g. hepatocellular carcinoma. The Child-Pugh (CP) score is a surrogate for liver function used to quantify liver cirrhos
作者: Charlatan    時間: 2025-3-27 14:47
Abstract: Adversarial Examples as Benchmark for Medical Imaging Neural Networks,e and fast deployment. Traditionally, the performance of a deep learning model is evaluated on a test dataset, originating from the same distribution as the training set. This evaluation method provides insight regarding the generalization ability of a model.
作者: lactic    時間: 2025-3-27 19:09

作者: incontinence    時間: 2025-3-28 01:04

作者: 安慰    時間: 2025-3-28 03:00

作者: Airtight    時間: 2025-3-28 07:37

作者: 縮短    時間: 2025-3-28 11:30
Abstract: Tract Orientation Mapping for Bundle-Specific Tractography,from diffusion MRI tractograms is time-consuming, requires expert knowledge and is hard to reproduce. Tract orientation mapping (TOM) is a novel concept that facilitates bundle-specific tractography based on a learned mapping from the original fiber orientation distribution function (fODF) peaks to
作者: 壯觀的游行    時間: 2025-3-28 18:15

作者: MUMP    時間: 2025-3-28 20:01

作者: Merited    時間: 2025-3-29 01:12

作者: GRE    時間: 2025-3-29 04:17
Deep Segmentation Refinement with Result-Dependent Learning,ent loss adaptation. The performance of our method regarding segmentation quality is evaluated on the example of hip joint segmentation in T1-weighted MRI data sets. The results are compared to an ordinary U-Net implementation. While the segmentation quality of the proximal femur does not significan
作者: intelligible    時間: 2025-3-29 10:19
Abstract: Automatic Estimation of Cochlear Duct Length and Volume Size,nd volume size estimation method from clinical multi-modal medical images. The method utilizes atlas-model-based segmentation to estimate a transformation from a model to an input volume. The result is used to transform a well-defined segmentation and a points-set of a scala tympani to the input ima
作者: overhaul    時間: 2025-3-29 14:20
Interactive Neural Network Robot User Investigation for Medical Image Segmentation,Especially in the field of inter-operative medical image processing of a single patient, where a high accuracy is an uncompromisable necessity, a human operator guiding a system towards an optimal segmentation result is a time-efficient constellation benefiting the patient. There are recent categori
作者: 災禍    時間: 2025-3-29 17:31
Tracing of Nerve Fibers Through Brain Regions of Fiber Crossings in Reconstructed 3D-PLI Volumes,er structures can be accurately visualized with 3D-PLI, the currently used physical model (based on Jones Calculus) is not well suited to distinguish steep fibers from specific fiber crossings. Hence, streamline tractography algorithms tracing fiber pathways get easily misdirected in such brain regi
作者: Mutter    時間: 2025-3-29 20:26

作者: 爭吵加    時間: 2025-3-30 00:29
Automatic Detection and Segmentation of the Acute Vessel Thrombus in Cerebral CT,ing emergency imaging could draw the attention of a radiologist directly to the thrombotic clot. Considering an appropriate early treatment, the immediate automatic detection of a clot could lead to a better patient outcome by reducing time-to-treatment. We present a two-stage neural network to auto
作者: Nebulous    時間: 2025-3-30 07:24

作者: 古代    時間: 2025-3-30 10:49

作者: 使糾纏    時間: 2025-3-30 14:54
Tracing of Nerve Fibers Through Brain Regions of Fiber Crossings in Reconstructed 3D-PLI Volumes,solution, both methods were demonstrated to sustain their initial tract direction throughout the crossing region. In comparison, the ODF-method offered a more reliable bridging of the crossings with less gaps.
作者: outset    時間: 2025-3-30 18:00

作者: 發(fā)誓放棄    時間: 2025-3-30 22:10

作者: MOAT    時間: 2025-3-31 02:47

作者: Coronary    時間: 2025-3-31 08:05

作者: MIRE    時間: 2025-3-31 10:20

作者: circuit    時間: 2025-3-31 16:17

作者: 譏諷    時間: 2025-3-31 19:44
Wiener Beitr?ge zur Islamforschungpt that facilitates bundle-specific tractography based on a learned mapping from the original fiber orientation distribution function (fODF) peaks to a list of tract orientation maps (also abbr. TOM). Each TOM represents one of the known tracts with each voxel containing no more than one orientation vector.
作者: EWER    時間: 2025-3-31 23:49
https://doi.org/10.1007/978-3-531-91021-5 MRI data sets. The results are compared to an ordinary U-Net implementation. While the segmentation quality of the proximal femur does not significantly change, our proposed method shows promising improvements for the segmentation of the pelvic bone complex, which shows more shape variability in the 2D image slices along the longitudinal axis.
作者: Phenothiazines    時間: 2025-4-1 04:34
https://doi.org/10.1007/978-3-531-91021-5tion from a model to an input volume. The result is used to transform a well-defined segmentation and a points-set of a scala tympani to the input image that segments and estimates the scala tympani length in a few seconds using standard hardware e.g. a laptop.
作者: obligation    時間: 2025-4-1 06:40
Automatic Detection of Blood Vessels in Optical Coherence Tomography Scans,ng methods. The position of the BVSs is determined in OCT scans and the BV thickness is measured in the fundus images. Additionally, the correlation between BVS thickness and retinal nerve fiber layer (RNFL) thickness is determined. This correlation is of great interest since glaucoma, for example, can be identified by a loss of RNFL thickness.
作者: 廚師    時間: 2025-4-1 12:14

作者: 拋物線    時間: 2025-4-1 17:41
Abstract: Tract Orientation Mapping for Bundle-Specific Tractography,pt that facilitates bundle-specific tractography based on a learned mapping from the original fiber orientation distribution function (fODF) peaks to a list of tract orientation maps (also abbr. TOM). Each TOM represents one of the known tracts with each voxel containing no more than one orientation vector.
作者: WAIL    時間: 2025-4-1 22:28
Deep Segmentation Refinement with Result-Dependent Learning, MRI data sets. The results are compared to an ordinary U-Net implementation. While the segmentation quality of the proximal femur does not significantly change, our proposed method shows promising improvements for the segmentation of the pelvic bone complex, which shows more shape variability in the 2D image slices along the longitudinal axis.
作者: 粗魯的人    時間: 2025-4-2 02:00
Abstract: Automatic Estimation of Cochlear Duct Length and Volume Size,tion from a model to an input volume. The result is used to transform a well-defined segmentation and a points-set of a scala tympani to the input image that segments and estimates the scala tympani length in a few seconds using standard hardware e.g. a laptop.
作者: OTHER    時間: 2025-4-2 05:50
Hossein Askari,Hossein MohammadkhanOn the example of image registration of brain MRIs, we emphasize the necessity for the method and show that it enables evaluation of the accuracy on a clinical dataset. Furthermore, the topology preserving and realistic appearance of the generated images are evaluated and considered to be sufficient.
作者: 過份艷麗    時間: 2025-4-2 09:52
https://doi.org/10.1007/978-3-531-91021-5matically segment and classify clots in the MCA+ICA region for a fast pre-selection of positive cases to support patient triage and treatment planning. Our automatic method achieves an area under the receiver operating curve (AUROC) of 0:99 for the correct positive/negative classification on unseen test data.




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