飓风 发表于 2025-3-23 10:43:59

https://doi.org/10.1007/978-3-658-01228-1assify the results. Experiments show that the proposed method can effectively improve the classification effect, and the results can help doctors to utilize the CT images to achieve reliable non-invasive disease diagnosis.

cushion 发表于 2025-3-23 17:45:12

http://reply.papertrans.cn/17/1627/162641/162641_12.png

MEAN 发表于 2025-3-23 21:22:46

https://doi.org/10.1007/978-3-658-01228-1r EEG signals from the CHB-MIT public database. The proposed method has achieved up to 98% of sensitivity, 88% of specificity and 91% of accuracy. For each subsequence of EEG data received, the system takes less than one second to estimate the patient state, regarding the possibility of an impending seizure.

PARA 发表于 2025-3-23 23:53:52

https://doi.org/10.1007/978-3-658-01228-1ent (ME) strategy for image preprocessing. Owing to the lack of suitable public dataset, we introduce a CT image dataset of bone tumor. Experimental results on this dataset show our SG-CNN and ME strategy improve the classification accuracy obviously.

暴露他抗议 发表于 2025-3-24 04:17:10

https://doi.org/10.1007/978-3-658-01228-1put to DeepLab for segmentation. This work is evaluated on two datasets: 3Dircadb and MICCAI-Sliver07. Compared with the state-of-the-art automatic methods, our approach has achieved better performance in terms of VOE, RVD, ASD and total score.

流浪 发表于 2025-3-24 07:13:46

http://reply.papertrans.cn/17/1627/162641/162641_16.png

小鹿 发表于 2025-3-24 12:38:54

http://reply.papertrans.cn/17/1627/162641/162641_17.png

inhibit 发表于 2025-3-24 15:25:39

http://reply.papertrans.cn/17/1627/162641/162641_18.png

珊瑚 发表于 2025-3-24 22:03:24

http://reply.papertrans.cn/17/1627/162641/162641_19.png

octogenarian 发表于 2025-3-25 00:43:57

http://reply.papertrans.cn/17/1627/162641/162641_20.png
页: 1 [2] 3 4 5 6
查看完整版本: Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2018; 27th International C Věra Kůrková,Yannis Manolopoulos,Ilias Maglogianni Confe