標(biāo)題: Titlebook: Machine Learning in Medical Imaging; 9th International Wo Yinghuan Shi,Heung-Il Suk,Mingxia Liu Conference proceedings 2018 Springer Nature [打印本頁(yè)] 作者: 矜持 時(shí)間: 2025-3-21 17:06
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: 樹木心 時(shí)間: 2025-3-21 20:20 作者: 歌劇等 時(shí)間: 2025-3-22 02:01 作者: 慢跑 時(shí)間: 2025-3-22 05:20
Conference proceedings 2018CCAI 2018 in Granada, Spain, in September 2018..The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging. .作者: Aids209 時(shí)間: 2025-3-22 10:01 作者: Foam-Cells 時(shí)間: 2025-3-22 16:51 作者: 脫毛 時(shí)間: 2025-3-22 17:21 作者: 貪心 時(shí)間: 2025-3-22 23:42
Dynamic Multi-scale CNN Forest Learning for Automatic Cervical Cancer Segmentation,to the best of our knowledge, these have not been used for cervical tumor segmentation. More importantly, while the majority of innovative deep-learning works using convolutional neural networks (CNNs) focus on developing more sophisticated and robust architectures (e.g., ResNet, U-Net, GANs), there作者: characteristic 時(shí)間: 2025-3-23 05:27
Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection,, including image artifact, clarity, and field definition. In this paper, we propose a multi-task deep learning framework for automated assessment of fundus image quality. The network can classify whether an image is gradable, together with interpretable information about quality factors. The propos作者: Pillory 時(shí)間: 2025-3-23 07:25
End-to-End Lung Nodule Detection in Computed Tomography,ptimized for radiologists. Computer vision can capture features that is subtle to human observers, so it is desirable to design a CAD system operating on the raw data. In this paper, we proposed a deep-neural-network-based detection system for lung nodule detection in computed tomography (CT). A pri作者: BIBLE 時(shí)間: 2025-3-23 11:36
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesionve been made, there is room for continued improvements. One hurdle is that CT images can exhibit high noise and low contrast, particularly in lower dosages. To address this, we focus on a preprocessing method for CT images that uses stacked generative adversarial networks (SGAN) approach. The first 作者: Minatory 時(shí)間: 2025-3-23 17:26 作者: mortgage 時(shí)間: 2025-3-23 18:42
Regional Abnormality Representation Learning in Structural MRI for AD/MCI Diagnosis,oaches in a unified framework. Specifically, we parcellate a brain into predefined regions by using anatomical knowledge, ., template, and find complex nonlinear relations among voxels, whose intensity denotes the volumetric measure in our case, within each region. Unlike the existing methods that m作者: 刺穿 時(shí)間: 2025-3-23 22:42
Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks,rning (DL) based approaches tackle the two problems separately without leveraging their mutually beneficial information. We propose a DL based approach for joint registration and segmentation (JRS) of chest Xray images. Generative adversarial networks (GANs) are trained to register a floating image 作者: 顯而易見 時(shí)間: 2025-3-24 03:27
SCCA-Ref: Novel Sparse Canonical Correlation Analysis with Reference to Discover Independent Spatiahether their co-occurrence is due to shared risk factors. Previous work has analyzed univariate associations between individual brain regions but not joint patterns over multiple regions. We propose a new method that jointly analyzes all the regions to discover spatial association patterns between W作者: ILEUM 時(shí)間: 2025-3-24 07:15 作者: 免除責(zé)任 時(shí)間: 2025-3-24 14:15 作者: Immortal 時(shí)間: 2025-3-24 15:55
Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features,annot combine the two properties, which are antagonist in simple designs. We propose texture operators based on spherical harmonic wavelets (SHW) invariants and show that they are both LRI and DS. An experimental comparison of SHW and popular radiomics operators for classifying 3D textures reveals t作者: 多骨 時(shí)間: 2025-3-24 21:12
Can Dilated Convolutions Capture Ultrasound Video Dynamics?,hallenging task for detecting the standard planes, due to the low-quality data, variability in contrast, appearance and placement of the structures. Conventionally, sequential data is usually modelled with heavy Recurrent Neural Networks?(RNNs). In this paper, we propose to apply a convolutional arc作者: Expertise 時(shí)間: 2025-3-25 03:12
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net,ly brain development studies. However, infant brain MR images usually exhibit extremely low tissue contrast (especially from 3 to 9?months of age) and dynamic imaging appearance patterns. Thus, it is inevitable to have large amounts of topological errors in the infant brain tissue segmentation resul作者: Gene408 時(shí)間: 2025-3-25 06:21
Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition,e-consuming and laborious. This study proposes a novel self-taught learning for more accurately reconstructing the raw data based on the sparse autoencoder. It is well known that autoencoder is able to learn latent features via setting the target values to be equal to the input data, and can be stac作者: 親屬 時(shí)間: 2025-3-25 08:14 作者: 吵鬧 時(shí)間: 2025-3-25 12:39
Brain Status Prediction with Non-negative Projective Dictionary Learning,tus prediction by learning a discriminative representation of the data with a novel non-negative projective dictionary learning (NPDL) approach. The proposed approach performs class-wise projective dictionary learning, which uses an analysis dictionary to generate non-negative coding vectors from th作者: Chivalrous 時(shí)間: 2025-3-25 19:33
Classification of Pancreatic Cystic Neoplasms Based on Multimodality Images,is very difficult even for radiologists, due to similar appearance and shape. We propose a network called PCN-Net which makes use of T1/T2 MRI of abdomen by its three stages design. The first and second stages are trained on T1 and T2 separately for detection and inter-modality registration. After a作者: arcane 時(shí)間: 2025-3-25 22:40 作者: 微枝末節(jié) 時(shí)間: 2025-3-26 04:09 作者: 殺子女者 時(shí)間: 2025-3-26 05:37
Dwarikanath Mahapatra,Zongyuan Ge,Suman Sedai,Rajib Chakravortyeness – should be reimagined as central to democratic society. Young adults, especially from disadvantaged backgrounds, engage more in education and training, and learn more day-to-day at work, if provision is democratically organised and based on enduring and inclusive institutional networks, and w作者: adumbrate 時(shí)間: 2025-3-26 10:03
Gerard Sanroma,Loes Rutten-Jacobs,Valerie Lohner,Johanna Kramme,Sach Mukherjee,Martin Reuter,Tony Stides innovative insights into EU policy processes and their This open access book challenges international policy ‘groupthink’ about lifelong learning. Adult learning – too long a servant of business competitiveness – should be reimagined as central to democratic society. Young adults, especially fr作者: 不適當(dāng) 時(shí)間: 2025-3-26 13:33
Frank Preiswerk,Cheng-Chieh Cheng,Jie Luo,Bruno Madoreeness – should be reimagined as central to democratic society. Young adults, especially from disadvantaged backgrounds, engage more in education and training, and learn more day-to-day at work, if provision is democratically organised and based on enduring and inclusive institutional networks, and w作者: 合乎習(xí)俗 時(shí)間: 2025-3-26 20:17
Aliasghar Mortazi,Ulas Bagcis is useful and how such sharing makes lifelong machine learning (LML) work. The example is about product review sentiment classification. The task is to build a classifier to classify a product review as expressing a positive or negative opinion. In the classic setting, we first label a large numbe作者: Herbivorous 時(shí)間: 2025-3-26 22:44 作者: 性學(xué)院 時(shí)間: 2025-3-27 02:37 作者: Nefarious 時(shí)間: 2025-3-27 07:57 作者: chuckle 時(shí)間: 2025-3-27 11:11
Xian-Hua Han,JiandDe Sun,Lanfen Lin,Yen-Wei Chenecog- nition. The first change involved only malignant hypertensives with enough residual renal parenchyma to survive. Such a hypertensive could trade inevitable renal failure - unless an intracerebral bleed occurred first - for a rigid regimen which prevented his blood pressure from destroying him 作者: Benign 時(shí)間: 2025-3-27 13:55
Cheng Chen,Qi Dou,Hao Chen,Pheng-Ann Henge ‘Veterans Administration Cooperative Study’ that subjects with sustained elevations of diastolic blood pressure greater than 104 mmHg, showed marked improvement in both morbidity and mortality when compared to placebo-treated control groups [1,2]. Once the diagnosis of essential hypertension has b作者: 陳列 時(shí)間: 2025-3-27 20:55 作者: 枕墊 時(shí)間: 2025-3-28 01:57
Weixiang Chen,Hongchen Ji,Jianjiang Feng,Rong Liu,Yi Yu,Ruiquan Zhou,Jie Zhouir course content when using Online Learning Environments (OLEs) still at large, this research aims to analyze the influence that visual narratives could have on encouraging students to study and improve their knowledge levels, and thereby support their continuous learning and development. Interacti作者: 招致 時(shí)間: 2025-3-28 02:08
Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection,tection of optic disk and fovea assists learning the field definition task through coarse-to-fine feature encoding. The experimental results demonstrate that our framework outperform single-task convolutional neural networks and reject ungradable images in automated diabetic retinopathy diagnostic systems.作者: Interregnum 時(shí)間: 2025-3-28 06:51 作者: 過時(shí) 時(shí)間: 2025-3-28 11:03 作者: Autobiography 時(shí)間: 2025-3-28 17:39
Brain Status Prediction with Non-negative Projective Dictionary Learning,ve it via an alternating direction method of multipliers (ADMM). To investigate the effectiveness of the proposed approach on brain status prediction, we conduct experiments on two datasets, ADNI and NIH Study of Normal Brain Development repository, and report superior results over comparison methods.作者: 馬具 時(shí)間: 2025-3-28 21:51
Classification of Pancreatic Cystic Neoplasms Based on Multimodality Images, Z-Continuity Filter and modalities fusion, the third stage predict the results with registered image pairs. On a database of 48 patients, our method can predict with slice level accuracy of . and patient level accuracy of ., which are much better than other baseline methods.作者: 混雜人 時(shí)間: 2025-3-29 01:43 作者: Immobilize 時(shí)間: 2025-3-29 06:35
0302-9743 ons. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging. .978-3-030-00918-2978-3-030-00919-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: hypnogram 時(shí)間: 2025-3-29 09:37 作者: frivolous 時(shí)間: 2025-3-29 14:26
Conference proceedings 2018CCAI 2018 in Granada, Spain, in September 2018..The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use 作者: GEN 時(shí)間: 2025-3-29 18:27 作者: 極深 時(shí)間: 2025-3-29 20:26
Gerard Sanroma,Loes Rutten-Jacobs,Valerie Lohner,Johanna Kramme,Sach Mukherjee,Martin Reuter,Tony Stbour market and educational institutions matter so much, how adult education can empower and expand people’s agency, and the challenges of using artificial intelligence in lifelong learning policy-making. Sever978-3-031-14111-9978-3-031-14109-6Series ISSN 2524-6313 Series E-ISSN 2524-6321 作者: 上腭 時(shí)間: 2025-3-30 00:02
Biao Jie,Mingxia Liu,Chunfeng Lian,Feng Shi,Dinggang Shen作者: arsenal 時(shí)間: 2025-3-30 07:27
Feiyun Zhu,Xinliang Zhu,Sheng Wang,Jiawen Yao,Zhichun Xiao,Junzhou Huang作者: 一大群 時(shí)間: 2025-3-30 08:54
Nesrine Bnouni,Islem Rekik,Mohamed Salah Rhim,Najoua Essoukri Ben Amara作者: CYN 時(shí)間: 2025-3-30 13:03
Yaxin Shen,Ruogu Fang,Bin Sheng,Ling Dai,Huating Li,Jing Qin,Qiang Wu,Weiping Jia作者: novelty 時(shí)間: 2025-3-30 17:29 作者: Extort 時(shí)間: 2025-3-30 21:15 作者: 強(qiáng)有力 時(shí)間: 2025-3-31 02:34
Xiaohuan Cao,Jianhuan Yang,Li Wang,Zhong Xue,Qian Wang,Dinggang ShenChapters show why some provision works for those with poor educational backgrounds, why labour market and educational institutions matter so much, how adult education can empower and expand people’s agency, and the challenges of using artificial intelligence in lifelong learning policy-making. Sever作者: 空洞 時(shí)間: 2025-3-31 07:20 作者: ANTH 時(shí)間: 2025-3-31 13:01 作者: Pantry 時(shí)間: 2025-3-31 17:09 作者: Stable-Angina 時(shí)間: 2025-3-31 21:16 作者: CORE 時(shí)間: 2025-3-31 23:35 作者: 充足 時(shí)間: 2025-4-1 04:02
Cheng Chen,Qi Dou,Hao Chen,Pheng-Ann Heng evaluation of the patient to define the degree of target-organ damage and to assess physiologic derangements. In this chapter autonomic contributions to blood pressure control will be reviewed briefly, followed by a more complete discussion of those agents which interfere with autonomic mechanisms 作者: 停止償付 時(shí)間: 2025-4-1 09:10
Mingli Zhang,Christian Desrosiers,Yuhong Guo,Caiming Zhang,Budhachandra Khundrakpam,Alan Evansased on their activities in the current week. The result is an instance of the family of absorbing Markov chains, which can be analysed using the property called time to absorption. The preliminary results show that interesting patterns in student VLE behaviour can be uncovered, especially when comb作者: Introduction 時(shí)間: 2025-4-1 11:35
Weixiang Chen,Hongchen Ji,Jianjiang Feng,Rong Liu,Yi Yu,Ruiquan Zhou,Jie Zhous to date. The research discussed in this paper shows how personalized and scrutable visual narratives encouraged students, enrolled into an adaptive OLE as part of their undergraduate degree program, to study their course content and subsequently improve their knowledge levels.作者: 賭博 時(shí)間: 2025-4-1 17:47
Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarche point, thus conveying the richer interaction information of brain regions compared with the PCC method. Furthermore, we propose a wc-kernel based convolutional neural network (CNN) (called wck-CNN) framework for extracting the hierarchical (., from low-order to high-order) functional connectivitie作者: 踉蹌 時(shí)間: 2025-4-1 19:19
Robust Contextual Bandit via the Capped-, Norm for Mobile Health Intervention,a result, the robustness of both actor-critic updating is enhanced. There is a key parameter in the capped-. norm. We provide a reliable method to properly set it by making use of one of the most fundamental definitions of outliers in statistics. Extensive experiment results demonstrate that our met
