连接
发表于 2025-3-28 18:29:08
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conifer
发表于 2025-3-28 21:30:23
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诗集
发表于 2025-3-29 02:59:07
Shelda Sajeev,Anthony Maeder,Stephanie Champion,Alline Beleigoli,Cheng Ton,Xianglong Kong,Minglei Sh
Urgency
发表于 2025-3-29 03:43:09
Zijian Ding,Shan Qiu,Yutong Guo,Jianping Lin,Li Sun,Dapeng Fu,Zhen Yang,Chengquan Li,Yang Yu,Long Me
intrude
发表于 2025-3-29 11:16:11
Bowen Fan,Naoki Tomii,Hiroyuki Tsukihara,Eriko Maeda,Haruo Yamauchi,Kan Nawata,Asuka Hatano,Shu Taka
Confirm
发表于 2025-3-29 13:22:45
Renzo Phellan,Thomas Lindner,Michael Helle,Alexandre X. Falcão,Nils D. Forkert
heterogeneous
发表于 2025-3-29 16:35:15
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.
Obverse
发表于 2025-3-29 23:48:25
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
勤勉
发表于 2025-3-30 01:12:02
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
口味
发表于 2025-3-30 07:43:26
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.