標(biāo)題: Titlebook: Machine Learning in Medical Imaging; 12th International W Chunfeng Lian,Xiaohuan Cao,Pingkun Yan Conference proceedings 2021 Springer Natur [打印本頁] 作者: NK871 時間: 2025-3-21 17:09
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: 種族被根除 時間: 2025-3-21 20:22
Machine Learning in Medical Imaging978-3-030-87589-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 苦笑 時間: 2025-3-22 01:26
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620678.jpg作者: 有組織 時間: 2025-3-22 07:04
https://doi.org/10.1007/978-3-030-87589-3artificial intelligence; big medical imaging data analytics; bioinformatics; cellular image analysis; co作者: ENNUI 時間: 2025-3-22 12:17 作者: conflate 時間: 2025-3-22 14:28
Tapabrata Chakraborti,Fergus Gleeson,Jens Rittscher many technology generations of semiconductor logic and memoLife-Cycle Assessment of Semiconductors presents the first and thus far only available transparent and complete life cycle assessment of semiconductor devices. A lack of reliable semiconductor LCA data has been a major challenge to evaluati作者: lymphedema 時間: 2025-3-22 19:23
Hao Guan,Li Wang,Dongren Yao,Andrea Bozoki,Mingxia Liu many technology generations of semiconductor logic and memoLife-Cycle Assessment of Semiconductors presents the first and thus far only available transparent and complete life cycle assessment of semiconductor devices. A lack of reliable semiconductor LCA data has been a major challenge to evaluati作者: 不知疲倦 時間: 2025-3-22 21:26 作者: hangdog 時間: 2025-3-23 03:51 作者: 物種起源 時間: 2025-3-23 05:55
Jie Wei,Yongsheng Pan,Yong Xia,Dinggang Shench and gestures in making Human—Virtual Human interfaces more effective. Miller [33] suggests that only 7% of a message is sent through words: the remainder is sent through facial expressions (55%) and vocal intonation (38%). Therefore in both analysis of human conversations and in the synthesis of 作者: 虛度 時間: 2025-3-23 11:16 作者: 輕浮思想 時間: 2025-3-23 15:56
Ivan Drokin,Elena Erichevaions.Includes supplementary material: .Life-like characters is one of the most exciting technologies for human-computer interface applications today. They convincingly take the roles of virtual presenters, synthetic actors and sales personas, teammates and tutors. A common characteristic underlying 作者: Agility 時間: 2025-3-23 19:52 作者: Orthodontics 時間: 2025-3-24 00:59
Zhanghexuan Ji,Mohammad Abuzar Shaikh,Dana Moukheiber,Sargur N Srihari,Yifan Peng,Mingchen Gaommon pathways that modulate longevity.Provides overview of r.In recent years, remarkable discoveries have been made concerning the underlying mechanisms of aging. In Life-Span Extension: Single-Cell Organisms to Man, the editors bring together a range of illuminating perspectives from researchers in作者: 執(zhí)拗 時間: 2025-3-24 03:35
Zuhui Wang,Zhaozheng Yino Man, the editors bring together a range of illuminating perspectives from researchers investigating the aging process in a variety of species. This novel work addresses the aging process in species ranging from yeast to man and, among other subjects, features detailed discussions of the naked mole作者: Affiliation 時間: 2025-3-24 09:34
Mingxin Jiang,Shimin Yang,Zhongbo Zhao,Jiadong Yan,Yuzhong Chen,Tuo Zhang,Shu Zhang,Benjamin Becker,o Man, the editors bring together a range of illuminating perspectives from researchers investigating the aging process in a variety of species. This novel work addresses the aging process in species ranging from yeast to man and, among other subjects, features detailed discussions of the naked mole作者: Cholecystokinin 時間: 2025-3-24 10:51
Islem Mhiri,Mohamed Ali Mahjoub,Islem Rekikmmon pathways that modulate longevity.Provides overview of r.In recent years, remarkable discoveries have been made concerning the underlying mechanisms of aging. In Life-Span Extension: Single-Cell Organisms to Man, the editors bring together a range of illuminating perspectives from researchers in作者: 北極熊 時間: 2025-3-24 17:48
Xiao Qi,David J. Foran,John L. Nosher,Ilker Hacihalilogluo Man, the editors bring together a range of illuminating perspectives from researchers investigating the aging process in a variety of species. This novel work addresses the aging process in species ranging from yeast to man and, among other subjects, features detailed discussions of the naked mole作者: 樹木心 時間: 2025-3-24 21:24 作者: jumble 時間: 2025-3-24 23:28 作者: hangdog 時間: 2025-3-25 06:53
Yutong Yan,Pierre-Henri Conze,Mathieu Lamard,Heng Zhang,Gwenolé Quellec,Béatrice Cochener,Gouenou Common pathways that modulate longevity.Provides overview of r.In recent years, remarkable discoveries have been made concerning the underlying mechanisms of aging. In Life-Span Extension: Single-Cell Organisms to Man, the editors bring together a range of illuminating perspectives from researchers in作者: Fester 時間: 2025-3-25 09:14
Contrastive Representations for Continual Learning of Fine-Grained Histology Images,th limited labelling. This is of particular interest to the biomedical imaging research community, for whom the visual task is often a binary decision (healthy vs. disease) with limited quantity data and costly labelling. For such applications, the proposed method provides a light-weight option of 1作者: Locale 時間: 2025-3-25 14:43
Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empiricalanalysis, due to small-sized samples and the domain shift problem (., caused by the use of different scanners, protocols and/or subject populations in different sites/datasets). Although previous studies proposed to pretrain CNNs on ImageNet, models’ transferability is usually limited due to semanti作者: hardheaded 時間: 2025-3-25 16:03
Knee Cartilages Segmentation Based on Multi-scale Cascaded Neural Networks, Modern population. Therefore, the early detection of knee arthritis is of great significance for diagnosis and treatment. Magnetic resonance imaging (MRI) is one of the most commonly used methods for evaluating joint degeneration in osteoarthritis research. In order to obtain information on knee ca作者: Expressly 時間: 2025-3-25 22:35
Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation,ion and radiotherapy. Designing automatic segmentation methods capable of effectively exploiting the information from PET and CT as well as resolving their uncertainty remain a challenge. In this paper, we propose an lymphoma segmentation model using an UNet with an evidential PET/CT fusion layer. S作者: 脊椎動物 時間: 2025-3-26 02:03 作者: Visual-Field 時間: 2025-3-26 05:10 作者: UTTER 時間: 2025-3-26 11:43
Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning,m concatenated input images, and training is achieved by minimizing losses derived from image similarity and field regularization terms. However, the mechanism of multiresolution encoding and decoding with skip connections tends to mix up the spatial relationship between corresponding voxels or feat作者: palette 時間: 2025-3-26 15:52 作者: Mortal 時間: 2025-3-26 16:50 作者: 一條卷發(fā) 時間: 2025-3-27 00:59 作者: gonioscopy 時間: 2025-3-27 01:43 作者: LUCY 時間: 2025-3-27 09:08 作者: 乳汁 時間: 2025-3-27 09:26
Cell Counting by a Location-Aware Network,density maps that are generated by deep cell counting networks. However, these cell counting networks that reply on estimated cell density maps may leave cell locations in a black-box. In this paper, we propose a novel cell counting network leveraging cell location information to obtain accurate cel作者: 哄騙 時間: 2025-3-27 17:00 作者: DAUNT 時間: 2025-3-27 17:58
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesisng multimodal brain graph synthesis frameworks have several limitations. First, they mainly tackle only one problem (intra- or inter-modality), limiting their generalizability to synthesizing inter- and intra-modality simultaneously. Second, while few techniques work on super-resolving low-resolutio作者: 詞匯表 時間: 2025-3-27 22:17 作者: 會議 時間: 2025-3-28 06:11 作者: 使激動 時間: 2025-3-28 06:38 作者: climax 時間: 2025-3-28 11:09 作者: BALE 時間: 2025-3-28 17:21
Conference proceedings 2021ICCAI 2021, in Strasbourg, France, in September 2021.*.The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imag作者: 平靜生活 時間: 2025-3-28 19:04 作者: 幻想 時間: 2025-3-28 23:49 作者: albuminuria 時間: 2025-3-29 04:54 作者: famine 時間: 2025-3-29 09:22
Knee Cartilages Segmentation Based on Multi-scale Cascaded Neural Networks, In this work, we propose a novel cascaded network structure with an effective inception-like multi-scale module for knee joint magnetic resonance images segmentation. Compared with the baseline, a maximum of 1.6% dice score mean promotion is obtained. The code is publicly available at 作者: 鄙視讀作 時間: 2025-3-29 12:02 作者: 流逝 時間: 2025-3-29 19:04 作者: GROSS 時間: 2025-3-29 19:51 作者: indubitable 時間: 2025-3-30 01:53 作者: Nonconformist 時間: 2025-3-30 07:06
0302-9743 , multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc. .*The workshop was held virtually..978-3-030-87588-6978-3-030-87589-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 神圣不可 時間: 2025-3-30 09:52
Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical the . of 3D-CNNs to the transferability, and verify that fine-tuning CNNs can significantly enhance the transferability. This is different from the previous finding that fine-tuning CNNs (pretrained on ImageNet) cannot improve the model transferability in 2D medical image analysis. (3) We also stud作者: 下級 時間: 2025-3-30 15:23 作者: 懲罰 時間: 2025-3-30 18:41
Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision,atch automatically. More importantly, visualization of weight for each patch in a WSI demonstrates that our approach matches the concerns of pathologists. Furthermore, extensive experiments demonstrate the superiority of the interpretable dual encoder network.作者: indices 時間: 2025-3-30 21:20
Variational Encoding and Decoding for Hybrid Supervision of Registration Network,ns can be simulated to serve as the ground-truth for supervised learning of registration. By working alternatively with the conventional unsupervised training, our registration network can better adapt to shape variability and yield accurate and consistent deformations. Experiments on 3D brain magne作者: 能得到 時間: 2025-3-31 03:48 作者: CT-angiography 時間: 2025-3-31 08:03 作者: 歡騰 時間: 2025-3-31 10:35 作者: 披肩 時間: 2025-3-31 14:26
Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classificatidel on a T2 MRI image dataset with 821 samples and 14 types of lymph nodes. Although this dataset is very unbalanced on different types of lymph nodes, our model shows promising classification results on this challenging datasets compared to several state of art methods.作者: 吞噬 時間: 2025-3-31 18:00 作者: Goblet-Cells 時間: 2025-3-31 22:17
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis on a given modality and super-resolve brain graphs in both inter and intra domains. Our SG-Net is grounded in three main contributions: (i) predicting a target graph from a source one based on a novel graph generative adversarial network in both inter (e.g., morphological-functional) and intra (e.g作者: Permanent 時間: 2025-4-1 05:29 作者: 諷刺滑稽戲劇 時間: 2025-4-1 06:42 作者: heirloom 時間: 2025-4-1 12:40
Deep Active Learning for Dual-View Mammogram Analysis,-CBIS and INbreast datasets demonstrate that comparable performance with respect to fully-supervised models can be reached using only 6.83% (9.56%) of labeled data for segmentation (detection). This suggests that combining dual-view mammogram analysis and active learning can strongly contribute to t作者: heartburn 時間: 2025-4-1 18:16
Ivan Drokin,Elena Ericheva of use of this new interface technology. ..Life-like characters being a vibrant research area, various applications have been designed and implemented. This book offers coverage of the mo978-3-642-05655-0978-3-662-08373-4Series ISSN 1611-2482 Series E-ISSN 2197-6635
