標(biāo)題: Titlebook: Marginal Space Learning for Medical Image Analysis; Efficient Detection Yefeng Zheng,Dorin Comaniciu Book 2014 Springer Science+Business M [打印本頁(yè)] 作者: ARGOT 時(shí)間: 2025-3-21 19:05
書目名稱Marginal Space Learning for Medical Image Analysis影響因子(影響力)
書目名稱Marginal Space Learning for Medical Image Analysis影響因子(影響力)學(xué)科排名
書目名稱Marginal Space Learning for Medical Image Analysis網(wǎng)絡(luò)公開度
書目名稱Marginal Space Learning for Medical Image Analysis網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Marginal Space Learning for Medical Image Analysis被引頻次
書目名稱Marginal Space Learning for Medical Image Analysis被引頻次學(xué)科排名
書目名稱Marginal Space Learning for Medical Image Analysis年度引用
書目名稱Marginal Space Learning for Medical Image Analysis年度引用學(xué)科排名
書目名稱Marginal Space Learning for Medical Image Analysis讀者反饋
書目名稱Marginal Space Learning for Medical Image Analysis讀者反饋學(xué)科排名
作者: vitreous-humor 時(shí)間: 2025-3-21 22:45 作者: Basilar-Artery 時(shí)間: 2025-3-22 01:10 作者: MONY 時(shí)間: 2025-3-22 05:33 作者: Cacophonous 時(shí)間: 2025-3-22 11:06 作者: Defense 時(shí)間: 2025-3-22 15:10 作者: 間諜活動(dòng) 時(shí)間: 2025-3-22 18:03
Yefeng Zheng,Dorin Comaniciuecific leading to the prevailing notion that most of the T cell expansion represents cytokine-mediated bystander activation and/or cross reactive stimulation of non specific cells. To re-examine this issue we quantitated antigen specific CD8 T cells during acute LCMV infection of mice using three se作者: exercise 時(shí)間: 2025-3-22 23:21
Yefeng Zheng,Dorin Comaniciu them off. In addition, fine-tuning can be achieved through signals that amplify or downmodulate responses. The complexity in signal transduction pathways that regulate these responses is daunting. Even terminal responses, such as degranulation by effector cells in the immune system, do not follow a作者: 演繹 時(shí)間: 2025-3-23 01:35 作者: Flounder 時(shí)間: 2025-3-23 06:29 作者: MEN 時(shí)間: 2025-3-23 12:36
ally infected cells and normal allogeneic cells without prior sensitization (1). NK killing is distinct from major histocompatibility complex (MHC)-restricted cytotoxic T lymphocyte (CTL) killing because both syngeneic and allogeneic targets can be lysed. NK cells are defined as lymphocytes that hav作者: 沙草紙 時(shí)間: 2025-3-23 15:28 作者: pineal-gland 時(shí)間: 2025-3-23 21:45 作者: 攀登 時(shí)間: 2025-3-24 01:32
Comparison of Marginal Space Learning and Full Space Learning in 2D,pare the performance of the MSL and Full Space Learning. A thorough comparison experiment on the LV detection in MRI images shows that the MSL significantly outperforms the FSL, in both speed and accuracy.作者: rods366 時(shí)間: 2025-3-24 05:31
Constrained Marginal Space Learning,framework. The prior distribution of the object position is learned based on the statistics of the distance from the object center to volume border, and the test hypotheses of the orientation and scale are generated using an example-based sampling strategy from the training set. Furthermore, we empl作者: 商談 時(shí)間: 2025-3-24 08:02 作者: 行乞 時(shí)間: 2025-3-24 14:41
Optimal Mean Shape for Nonrigid Object Detection and Segmentation, population. The anisotropic similarity transformation from the optimal mean shape to each individual training shape provides the ground truth of the pose parameters learned through the Marginal Space Learning (MSL). After the alignment with the estimated object pose, the optimal mean shape provides作者: intention 時(shí)間: 2025-3-24 14:59
Nonrigid Object Segmentation: Application to Four-Chamber Heart Segmentation,onents described in previous chapters into a complete segmentation system. In addition, simple and efficient methods based on mesh resampling are developed to establish mesh point correspondence, required to train a mean shape for shape initialization and build a statistical shape model for object b作者: 確定 時(shí)間: 2025-3-24 20:05 作者: 浸軟 時(shí)間: 2025-3-25 00:42 作者: 鍵琴 時(shí)間: 2025-3-25 05:28
Yefeng Zheng,Dorin Comaniciu cell surface expression of MHC-I molecules, and are severely deficient in the production of functional, mature CD8.CD4. T cells .. In this article, we summarize our recent work on the role of MHC-I molecules in development of CD8. T cells, CD4-CD8-∝β. T cells, and γδ. T cells. In addition the role 作者: 吝嗇性 時(shí)間: 2025-3-25 11:13
Yefeng Zheng,Dorin Comaniciu of interaction between plasma membrane molecules of activated T helper cells and B cells, B cells primed with plasma membrane of activated T helper cells and cytokines, and interaction between bone marrow stromal cells and B cell progenitors and precursors, in the B cell development, proliferation,作者: Trabeculoplasty 時(shí)間: 2025-3-25 13:50 作者: carotid-bruit 時(shí)間: 2025-3-25 17:00
Yefeng Zheng,Dorin Comaniciutypical PKC (ζ, λ). PKCζ isozyme is considered to be resistant to the effect of phorbol esters (12). Ways et al (16), using a variety of non-lymphoid cell lines, have failed to demonstrate translocation of PKCζ following stimulation with phorbol ester. To the best of our knowledge there is no study 作者: Subdue 時(shí)間: 2025-3-25 22:32 作者: heckle 時(shí)間: 2025-3-26 02:54
Yefeng Zheng,Dorin Comaniciuvented altogether. This type of inhibitory control is an essential feature of natural killer (NK) cells. Unlike cytotoxic T cells that kill target cells upon a recognition event mediated by their antigen-specific receptors, NK cells are triggered to kill target cells by interactions between activati作者: POWER 時(shí)間: 2025-3-26 05:59 作者: Arctic 時(shí)間: 2025-3-26 11:35
Yefeng Zheng,Dorin Comaniciuvented altogether. This type of inhibitory control is an essential feature of natural killer (NK) cells. Unlike cytotoxic T cells that kill target cells upon a recognition event mediated by their antigen-specific receptors, NK cells are triggered to kill target cells by interactions between activati作者: 商談 時(shí)間: 2025-3-26 14:02
umulated to show that NK killing is in fact regulated by the MHC class I receptors. There is also increasing evidence that NK cell development is regulated by the presence of MHC class I antigens in the environment. The “missing-self” hypothesis put forth by Klas K?rre explains to a large extent the作者: Chemotherapy 時(shí)間: 2025-3-26 18:35 作者: 混亂生活 時(shí)間: 2025-3-26 21:28 作者: 產(chǎn)生 時(shí)間: 2025-3-27 03:08 作者: 閑蕩 時(shí)間: 2025-3-27 07:18
Marginal Space Learning,s such as local intensity and gradient. The efficiency of steerable features comes from the fact that much fewer points (defined by the sampling pattern) are needed for manipulation, in comparison to the whole volume.作者: 輕率看法 時(shí)間: 2025-3-27 09:44
Constrained Marginal Space Learning,ion speed up to 14 times relative to the original MSL, while achieving comparable or better detection accuracy. It takes less than half a second to detect a typical 3D anatomical structure in a volume.作者: Graduated 時(shí)間: 2025-3-27 16:05 作者: Mendacious 時(shí)間: 2025-3-27 18:35
Yefeng Zheng,Dorin Comaniciuulate apoptosis, including the role ofFas, FasL, and other TNF family members in apoptosis and homeostatic regulation of immune response. Recently described spl978-1-4899-0276-4978-1-4899-0274-0Series ISSN 0065-2598 Series E-ISSN 2214-8019 作者: ASSET 時(shí)間: 2025-3-28 00:21
Book 2014fication, and therefore have multiple clinical applications. This book presents an efficient object detection and segmentation framework, called Marginal Space Learning, which runs at a sub-second speed on a current desktop computer, faster than the state-of-the-art. Trained with a sufficient number作者: Melatonin 時(shí)間: 2025-3-28 02:10
Book 2014tions of Marginal Space Learning and its extensions to detecting and segmenting various anatomical structures, such as the heart, liver, lymph nodes and prostate in major medical imaging modalities (CT, MRI, X-Ray and Ultrasound), demonstrating its efficiency and robustness..作者: Offstage 時(shí)間: 2025-3-28 07:40
Part-Based Object Detection and Segmentation,trate the robustness and accuracy of part-based object detection and segmentation on three applications, namely, left atrium segmentation in 3D C-arm CT, left ventricle detection in 2D MRI, and aorta segmentation in 3D C-arm CT.作者: 發(fā)誓放棄 時(shí)間: 2025-3-28 10:56
Optimal Mean Shape for Nonrigid Object Detection and Segmentation, more accurate initialization than the mean shapes derived through a bounding box. Experiments on aortic valve landmark detection and whole-heart segmentation demonstrate the advantages of the approach.作者: 妨礙議事 時(shí)間: 2025-3-28 15:52 作者: OWL 時(shí)間: 2025-3-28 21:14
Nonrigid Object Segmentation: Application to Four-Chamber Heart Segmentation,framework. Most of the technologies developed for heart chamber segmentation are generic, therefore can be applied directly or adapted easily to segment other anatomies in different imaging modalities.作者: 改進(jìn) 時(shí)間: 2025-3-29 00:14
978-1-4939-5575-6Springer Science+Business Media New York 2014作者: Spongy-Bone 時(shí)間: 2025-3-29 03:20
