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標(biāo)題: Titlebook: Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Com; First International Hongen Liao,Simo [打印本頁(yè)]

作者: 動(dòng)詞    時(shí)間: 2025-3-21 19:38
書目名稱Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Com影響因子(影響力)




書目名稱Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Com影響因子(影響力)學(xué)科排名




書目名稱Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Com網(wǎng)絡(luò)公開(kāi)度




書目名稱Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Com網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Com被引頻次




書目名稱Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Com被引頻次學(xué)科排名




書目名稱Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Com年度引用




書目名稱Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Com年度引用學(xué)科排名




書目名稱Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Com讀者反饋




書目名稱Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Com讀者反饋學(xué)科排名





作者: 羅盤    時(shí)間: 2025-3-21 21:31
een ontwijkende persoonlijkheidsstoornis valt in de eerste plaats de sociale fobie op; zo iemand is buitensporig verlegen. Maar het gaat verder. We hebben te maken met iemand die zich eigenlijk nergens en nooit echt op zijn gemak voelt. De gevolgen op de lange duur zijn verstrekkend: er bestaat een
作者: 顛簸下上    時(shí)間: 2025-3-22 02:14
Chengbin Huang,Renjie Zhao,Weiting Chen,Huazheng Likende persoonlijkheidsstoornis valt in de eerste plaats de sociale fobie op; zo iemand is buitensporig verlegen. Maar het gaat verder. We hebben te maken met iemand die zich eigenlijk nergens en nooit echt op zijn gemak voelt. De gevolgen op de lange duur zijn verstrekkend: er bestaat een groot risi
作者: 非秘密    時(shí)間: 2025-3-22 05:08
Arrhythmia Classification with Attention-Based Res-BiLSTM-Netmanual diagnosis for cardiac arrhythmias is tedious and error-prone through ECG signals. In this work, we propose an end-to-end deep neural network called attention-based Res-BiLSTM-Net for automatic diagnosis of cardiac arrhythmias. Our model is capable of classifying ECG signals with different len
作者: somnambulism    時(shí)間: 2025-3-22 09:54

作者: Asseverate    時(shí)間: 2025-3-22 16:55
An Ensemble Neural Network for Multi-label Classification of Electrocardiogram in clinical scenarios. In this paper, we propose an ensemble neural network to address the multi-label classification of 12-lead ECG. The proposed network contains two modules, which treat the multi-label task from two different perspectives. The first module deals with the task in a sequence-gener
作者: 性上癮    時(shí)間: 2025-3-22 19:42

作者: 孤僻    時(shí)間: 2025-3-22 23:32
Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional NECGs) using the dataset of 14000 ECGs. Instead of straightforwardly applying an end-to-end deep learning approach, we find that deep convolutional neural networks enhanced with sophisticated hand crafted features show advantages in reducing generalization errors. Additionally, data preprocessing and
作者: 不理會(huì)    時(shí)間: 2025-3-23 05:09

作者: 致命    時(shí)間: 2025-3-23 05:55
Multi-label Classification of Abnormalities in 12-Lead ECG Using 1D CNN and LSTMories (1 normal, 8 abnormal). The only preprocessing techniques we used are the baseline drift removal based on median filtering and signal segmentation. Then an 18-layer deep 1D CNN consisting of residual blocks and skip architectures that is followed by a bi-directional LSTM layer was developed. D
作者: 指派    時(shí)間: 2025-3-23 10:31
An Approach to Predict Multiple Cardiac Diseasescan be classified into two categories according to morphology and rhythm, four in each group. In this paper, for morphology tasks neural network is applied mainly with input median wave extracted from raw data, while traditional methods are executed and promoted by machine learning to achieve rhythm
作者: gratify    時(shí)間: 2025-3-23 17:35
A 12-Lead ECG Arrhythmia Classification Method Based on 1D Densely Connected CNNormal type and eight abnormal types), using a 1D densely connected CNN which is a relatively novel convolutional neural network (CNN) model and shows outstanding performance in the field of pattern recognition. Firstly, noticing that ECG records are one dimensional time series with different noise l
作者: bourgeois    時(shí)間: 2025-3-23 18:10

作者: defuse    時(shí)間: 2025-3-24 00:37

作者: 縫紉    時(shí)間: 2025-3-24 06:15

作者: TAP    時(shí)間: 2025-3-24 10:26

作者: 主講人    時(shí)間: 2025-3-24 12:34

作者: DUST    時(shí)間: 2025-3-24 15:35
Attention-Guided Decoder in Dilated Residual Network for Accurate Aortic Valve Segmentation in 3D CT valve-sparing surgery. However, the very fast flapping speed, ambiguous shapes and extremely thin structures of the aortic valve lead to great difficulties in developing automatic segmentation algorithms. In this paper, we proposed an end-to-end deep learning method to address the problem of segmen
作者: 詢問(wèn)    時(shí)間: 2025-3-24 20:29

作者: 人充滿活力    時(shí)間: 2025-3-25 00:42

作者: 任命    時(shí)間: 2025-3-25 04:01
An Ensemble Neural Network for Multi-label Classification of Electrocardiograming two convolutional neural networks of different structure. Finally, the predictions of two modules are integrated as the final result. Our method is trained and evaluated on the dataset provided by the First China ECG Intelligent Competition, and yields a Macro-. of 0.872 on the test set.
作者: 產(chǎn)生    時(shí)間: 2025-3-25 08:01

作者: 核心    時(shí)間: 2025-3-25 14:30

作者: 沐浴    時(shí)間: 2025-3-25 18:22

作者: 棲息地    時(shí)間: 2025-3-25 21:38
0302-9743 svular Healthcare, MLMECH 2019, and the?International Joint Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. ..For MLMECH 2019, 16 papers were accepted for pu
作者: Infinitesimal    時(shí)間: 2025-3-26 03:19
Conference proceedings 2019lthcare, MLMECH 2019, and the?International Joint Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. ..For MLMECH 2019, 16 papers were accepted for publication
作者: burnish    時(shí)間: 2025-3-26 08:13

作者: 異端邪說(shuō)2    時(shí)間: 2025-3-26 12:05

作者: 使熄滅    時(shí)間: 2025-3-26 14:30

作者: narcotic    時(shí)間: 2025-3-26 17:01

作者: endocardium    時(shí)間: 2025-3-26 21:09
0302-9743 II-STENT 2019 accepted all 8 submissiones for publication. They contain technological and scientific research concerning endovascular procedures.?.978-3-030-33326-3978-3-030-33327-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 杠桿支點(diǎn)    時(shí)間: 2025-3-27 04:54

作者: 完成    時(shí)間: 2025-3-27 05:39

作者: LEVY    時(shí)間: 2025-3-27 13:07

作者: optic-nerve    時(shí)間: 2025-3-27 17:02

作者: 五行打油詩(shī)    時(shí)間: 2025-3-27 18:58
978-3-030-33326-3Springer Nature Switzerland AG 2019
作者: Diaphragm    時(shí)間: 2025-3-28 01:36
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Com978-3-030-33327-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 凝結(jié)劑    時(shí)間: 2025-3-28 02:49

作者: BARK    時(shí)間: 2025-3-28 07:50

作者: 提名的名單    時(shí)間: 2025-3-28 11:10

作者: 連接    時(shí)間: 2025-3-28 18:29

作者: conifer    時(shí)間: 2025-3-28 21:30

作者: 詩(shī)集    時(shí)間: 2025-3-29 02:59
Shelda Sajeev,Anthony Maeder,Stephanie Champion,Alline Beleigoli,Cheng Ton,Xianglong Kong,Minglei Sh
作者: Urgency    時(shí)間: 2025-3-29 03:43
Zijian Ding,Shan Qiu,Yutong Guo,Jianping Lin,Li Sun,Dapeng Fu,Zhen Yang,Chengquan Li,Yang Yu,Long Me
作者: intrude    時(shí)間: 2025-3-29 11:16
Bowen Fan,Naoki Tomii,Hiroyuki Tsukihara,Eriko Maeda,Haruo Yamauchi,Kan Nawata,Asuka Hatano,Shu Taka
作者: Confirm    時(shí)間: 2025-3-29 13:22
Renzo Phellan,Thomas Lindner,Michael Helle,Alexandre X. Falc?o,Nils D. Forkert
作者: heterogeneous    時(shí)間: 2025-3-29 16:35
Arrhythmia Classification with Attention-Based Res-BiLSTM-Netias according to combined features. Our method achieved a good result with an average F1score of 0.8757 on a multi-label arrhythmias classification problem in the First China ECG Intelligent Competition.
作者: Obverse    時(shí)間: 2025-3-29 23:48
A Multi-label Learning Method to Detect Arrhythmia Based on 12-Lead ECGsetween positive samples and negative samples. Moreover, we construct a Squeeze and Excitation-ResNet (SE-ResNet) module for normal rhythm and arrhythmia detection. In order to solve the multi-label classification problem, we train nine different binary classifiers for each category and determine whi
作者: 勤勉    時(shí)間: 2025-3-30 01:12
Transfer Learning for Electrocardiogram Classification Under Small Datasetsingle lead. Then it is continuously fine-tuned on the competition dataset with 12 leads. The performance of the proposed network is improved a lot. The proposed method achieves . score of 0.89 and 0.86 in the hidden test set of preliminary and rematch, respectively. The research code will be releas
作者: 口味    時(shí)間: 2025-3-30 07:43
A 12-Lead ECG Arrhythmia Classification Method Based on 1D Densely Connected CNNhan one abnormal types. The approach has been validated against The First China ECG Intelligent Competition data set, obtaining a final F1 score of 0.873 and 0.863 on the validation set and test set, respectively.
作者: ostensible    時(shí)間: 2025-3-30 09:26

作者: AWL    時(shí)間: 2025-3-30 15:50
Deep Learning to Improve Heart Disease Risk Predictionersity of California, Irvine (UCI) dataset). The performance of deep learning model has been compared with four popular machine learning models (two linear and two nonlinear) in predicting the incidence of heart disease using data from 567 participants from two cohorts taken from UCI database. The d
作者: FOR    時(shí)間: 2025-3-30 16:54

作者: 貿(mào)易    時(shí)間: 2025-3-31 00:19

作者: 淡紫色花    時(shí)間: 2025-3-31 04:37
de meest uiteenlopende redenen professionele hulp zoeken, blijkt tegelijkertijd ook te lijden aan een, meestal al veel langer bestaande, ontwijkende persoonlijkheidsstoornis. In dit boek wordt een denkbeeldige cli?nt, Muri?l Bloem, gevolgd tijdens haar behandeling bij een eveneens denkbeeldige (cognitief) the978-90-313-4091-0978-90-313-7105-1
作者: 不可比擬    時(shí)間: 2025-3-31 06:38
de meest uiteenlopende redenen professionele hulp zoeken, blijkt tegelijkertijd ook te lijden aan een, meestal al veel langer bestaande, ontwijkende persoonlijkheidsstoornis. In dit boek wordt een denkbeeldige cli?nt, Muri?l Bloem, gevolgd tijdens haar behandeling bij een eveneens denkbeeldige (cognitief) the978-90-313-4091-0978-90-313-7105-1
作者: 妨礙議事    時(shí)間: 2025-3-31 12:30

作者: 窩轉(zhuǎn)脊椎動(dòng)物    時(shí)間: 2025-3-31 15:33
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