標(biāo)題: Titlebook: Computational Methods and Clinical Applications for Spine Imaging; 5th International Wo Guoyan Zheng,Daniel Belavy,Shuo Li Conference proce [打印本頁(yè)] 作者: mortality 時(shí)間: 2025-3-21 17:59
書目名稱Computational Methods and Clinical Applications for Spine Imaging影響因子(影響力)
書目名稱Computational Methods and Clinical Applications for Spine Imaging影響因子(影響力)學(xué)科排名
書目名稱Computational Methods and Clinical Applications for Spine Imaging網(wǎng)絡(luò)公開度
書目名稱Computational Methods and Clinical Applications for Spine Imaging網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computational Methods and Clinical Applications for Spine Imaging被引頻次
書目名稱Computational Methods and Clinical Applications for Spine Imaging被引頻次學(xué)科排名
書目名稱Computational Methods and Clinical Applications for Spine Imaging年度引用
書目名稱Computational Methods and Clinical Applications for Spine Imaging年度引用學(xué)科排名
書目名稱Computational Methods and Clinical Applications for Spine Imaging讀者反饋
書目名稱Computational Methods and Clinical Applications for Spine Imaging讀者反饋學(xué)科排名
作者: 荒唐 時(shí)間: 2025-3-21 23:11 作者: 影響 時(shí)間: 2025-3-22 02:22 作者: Nonflammable 時(shí)間: 2025-3-22 05:09 作者: ABOUT 時(shí)間: 2025-3-22 11:53 作者: Isthmus 時(shí)間: 2025-3-22 16:49
Automated Segmentation of Intervertebral Disc Using Fully Dilated Separable Deep Neural Networksg to the segmentation of multiple natural image scenarios, addressing of the intervertebral disc segmentation with a small-sized training set are still challenging problems. In this paper, a new framework with fully dilated separable convolution (FDS-CNN) is proposed for the automated segmentation o作者: Isthmus 時(shí)間: 2025-3-22 20:06 作者: jumble 時(shí)間: 2025-3-22 23:27
Towards a Deformable Multi-surface Approach to Ligamentous Spine Models for Predictive Simulation-Ba the resection of ligaments and bone facets from the front or back of the spine, in order to make it sufficiently compliant to enable the correction of the deformity. In light of progress in other areas of surgery in minimally invasive therapies, orthopedic surgeons have begun envisioning computer s作者: Barter 時(shí)間: 2025-3-23 02:44 作者: photophobia 時(shí)間: 2025-3-23 08:35 作者: 散布 時(shí)間: 2025-3-23 13:09
IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNetl advances in medical imaging, IVD localization and segmentation are still manually performed, which is time-consuming and prone to errors. If, in addition, multi-modal imaging is considered, the burden imposed on disease assessments increases substantially. In this paper, we propose an architecture作者: 一再煩擾 時(shí)間: 2025-3-23 15:36
Intervertebral Disc Segmentation and Localization from Multi-modality MR Images with 2.5D Multi-scals. In this work, we proposed a robust automatic method based on 2.5D multi-scale fully convolutional network (FCN) and geometric constraint post-processing for IVD segmentation and localization on 3D multi-modality Magnetic Resonance (MR) scans. Firstly, we designed a 2.5D multi-scale FCN. And the e作者: hallow 時(shí)間: 2025-3-23 21:03 作者: 和音 時(shí)間: 2025-3-23 23:54 作者: NIB 時(shí)間: 2025-3-24 05:47
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232689.jpg作者: 混亂生活 時(shí)間: 2025-3-24 09:11
Stufen der Anordnung in Euklidischen R?umenWM). Segmenting GM is up?to a point a trade-off between accuracy and precision. We propose a new pipeline for GM-WM magnetic resonance (MR) image acquisition and segmentation. We report superior results as compared to the ones recently reported in the SC GM segmentation challenge and show even bette作者: medium 時(shí)間: 2025-3-24 12:32 作者: 溫和女人 時(shí)間: 2025-3-24 15:36 作者: 肉體 時(shí)間: 2025-3-24 20:21 作者: 種類 時(shí)間: 2025-3-25 03:09
Stufengetriebe an Werkzeugmaschinenems could considerably improve the efficiency and objectivity of radiological practice by providing clinicians with image-based biomarkers calculated with minimal human input. However, such systems rarely achieve human-level performance, so extensive manual checking may be required. Their practical 作者: 傳授知識(shí) 時(shí)間: 2025-3-25 04:07 作者: investigate 時(shí)間: 2025-3-25 10:56 作者: curettage 時(shí)間: 2025-3-25 14:22
https://doi.org/10.1007/978-3-662-41878-9 the resection of ligaments and bone facets from the front or back of the spine, in order to make it sufficiently compliant to enable the correction of the deformity. In light of progress in other areas of surgery in minimally invasive therapies, orthopedic surgeons have begun envisioning computer s作者: abnegate 時(shí)間: 2025-3-25 17:26
https://doi.org/10.1007/978-3-642-53145-3e at MICCAI 2018, we have proposed a segmentation method based on simple image processing operators. Most of these operators come from the mathematical morphology framework. Driven by some prior knowledge on IVDs (basic information about their shape and the distance between them), and on their contr作者: FEMUR 時(shí)間: 2025-3-25 23:20 作者: DEVIL 時(shí)間: 2025-3-26 02:48
https://doi.org/10.1007/978-3-642-47371-5l advances in medical imaging, IVD localization and segmentation are still manually performed, which is time-consuming and prone to errors. If, in addition, multi-modal imaging is considered, the burden imposed on disease assessments increases substantially. In this paper, we propose an architecture作者: 提升 時(shí)間: 2025-3-26 04:53 作者: 債務(wù) 時(shí)間: 2025-3-26 08:35 作者: 修飾語(yǔ) 時(shí)間: 2025-3-26 16:39
Helga Schloffer,Irene Gabriel,Ellen Prang and measurements. Manual annotation is a tedious and laborious procedure. There exist automatic IVD localization and segmentation methods on multi-modality IVD MR images, but an objective comparison of such methods is lacking. Thus we organized the following challenge: Automatic Intervertebral Disc作者: CUR 時(shí)間: 2025-3-26 19:03 作者: 思想流動(dòng) 時(shí)間: 2025-3-26 21:32
978-3-030-13735-9Springer Nature Switzerland AG 2019作者: 翅膀拍動(dòng) 時(shí)間: 2025-3-27 01:48
Computational Methods and Clinical Applications for Spine Imaging978-3-030-13736-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 傲慢人 時(shí)間: 2025-3-27 08:13
https://doi.org/10.1007/978-3-322-80595-9section of a porcine cadaver with images from T15 to L6 vertebrae. The median target registration error was 1.48?mm (.), which is below the clinical acceptance threshold of 2?mm. The total registration time was .. We believe that our approach matches the clinical needs in terms of accuracy and compu作者: Ophthalmoscope 時(shí)間: 2025-3-27 09:57 作者: 航海太平洋 時(shí)間: 2025-3-27 17:16
Drehzahlstufen an Werkzeugmaschinen,ork in the MICCAI 2018 Challenge on Automatic Intervertebral Disc Localization and Segmentation from 3D Multi-modality MR Images, demonstrating excellent performance in comparison with other related segmentation methods.作者: 連累 時(shí)間: 2025-3-27 21:22 作者: Jargon 時(shí)間: 2025-3-28 01:41
https://doi.org/10.1007/978-3-662-41878-9rt personalized finite elements simulation, based on models of the spine that not only feature vertebrae and inter-vertebral discs (IVDs), but also descriptive ligament models. This paper suggests a way of proceeding, based on the application of deformable multi-surface Simplex model applied to a CA作者: SOBER 時(shí)間: 2025-3-28 03:48 作者: 不能約 時(shí)間: 2025-3-28 09:00
https://doi.org/10.1007/978-3-642-47371-5a different path to better exploit their unique information. Second, inspired by HyperDenseNet [.], the network is densely-connected both within each path and across different paths, granting the model the freedom to learn . and . the different modalities should be processed and combined. Third, we 作者: 去世 時(shí)間: 2025-3-28 14:30
Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgerysection of a porcine cadaver with images from T15 to L6 vertebrae. The median target registration error was 1.48?mm (.), which is below the clinical acceptance threshold of 2?mm. The total registration time was .. We believe that our approach matches the clinical needs in terms of accuracy and compu作者: 集聚成團(tuán) 時(shí)間: 2025-3-28 17:51 作者: AGONY 時(shí)間: 2025-3-28 20:38
Automated Segmentation of Intervertebral Disc Using Fully Dilated Separable Deep Neural Networksork in the MICCAI 2018 Challenge on Automatic Intervertebral Disc Localization and Segmentation from 3D Multi-modality MR Images, demonstrating excellent performance in comparison with other related segmentation methods.作者: 古老 時(shí)間: 2025-3-29 00:43
Intensity Standardization of Skeleton in Follow-Up Whole-Body MRIw-up whole-body image is spatially registered to a baseline image using B-spline deformable registration. Secondly, an intensity standardization algorithm based on a histogram matching is applied to the follow-up image. Additionally, the use of a skeleton mask was introduced, in order to focus the a作者: FIN 時(shí)間: 2025-3-29 05:56
Towards a Deformable Multi-surface Approach to Ligamentous Spine Models for Predictive Simulation-Bart personalized finite elements simulation, based on models of the spine that not only feature vertebrae and inter-vertebral discs (IVDs), but also descriptive ligament models. This paper suggests a way of proceeding, based on the application of deformable multi-surface Simplex model applied to a CA作者: reaching 時(shí)間: 2025-3-29 10:31 作者: lambaste 時(shí)間: 2025-3-29 11:36
IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNeta different path to better exploit their unique information. Second, inspired by HyperDenseNet [.], the network is densely-connected both within each path and across different paths, granting the model the freedom to learn . and . the different modalities should be processed and combined. Third, we 作者: CRUMB 時(shí)間: 2025-3-29 18:25
Computational Methods and Clinical Applications for Spine Imaging5th International Wo作者: 向外 時(shí)間: 2025-3-29 20:39
0302-9743 , and also papers which demonstrate the performance of methods on the provided challenges, the aim is to cover both theoretical and very practical aspects of computerized spinal imaging...?.978-3-030-13735-9978-3-030-13736-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 激怒某人 時(shí)間: 2025-3-30 03:17 作者: Inexorable 時(shí)間: 2025-3-30 05:04
Stufengetriebe an Werkzeugmaschinenctor for the presence or not of Modic changes, the achieved average-per-class accuracy is 92.3%. Our evaluation also suggests that the so-called mixup strategy is particularly useful for this type of classification task.作者: 物種起源 時(shí)間: 2025-3-30 09:23 作者: 指數(shù) 時(shí)間: 2025-3-30 14:50 作者: 漫步 時(shí)間: 2025-3-30 17:50 作者: 無脊椎 時(shí)間: 2025-3-31 00:13 作者: 奇思怪想 時(shí)間: 2025-3-31 04:37
Intervertebral Disc Segmentation Using Mathematical Morphology—A CNN-Free Approachents of an image obtained by thresholding into a tree, where each node represents a particular region. Such structure is actually powerful and versatile for pattern recognition tasks in medical imaging.
