Constitution 发表于 2025-3-26 23:52:53
Going Deeper into Colorectal Cancer Histopathologyd from scratch obtained very good (about 90%) classification accuracy in our tests, the same CNN model pre-trained on the ImageNet dataset obtained even better accuracy (around 96%) on the same testing samples, requiring much lesser computational resources.Prostaglandins 发表于 2025-3-27 04:05:50
http://reply.papertrans.cn/19/1881/188020/188020_32.pngbrassy 发表于 2025-3-27 07:14:10
https://doi.org/10.1007/978-88-470-0597-6a quantitative assessment was performed using a validated usability assessment instrument, and, finally, in the third stage a focus group involving clinicians and usability experts was conducted. The results showed that SClínico presents important usability issues and, therefore, recommendations are suggested to overcome the identified issues.充足 发表于 2025-3-27 09:46:55
http://reply.papertrans.cn/19/1881/188020/188020_34.pngfructose 发表于 2025-3-27 16:14:18
Formal Neuron Models: Delays Offer a Simplified Dendritic Integration for Freeintegration into spiking neurons without explicit dendritic trees. This overcomes an explicit morphology representation and allows exploring many equivalent configurations via a single simplified model structure.一大群 发表于 2025-3-27 20:16:55
Considerations on the Usability of SClínicoa quantitative assessment was performed using a validated usability assessment instrument, and, finally, in the third stage a focus group involving clinicians and usability experts was conducted. The results showed that SClínico presents important usability issues and, therefore, recommendations are suggested to overcome the identified issues.壮丽的去 发表于 2025-3-28 00:15:55
http://reply.papertrans.cn/19/1881/188020/188020_37.png山顶可休息 发表于 2025-3-28 02:50:24
http://reply.papertrans.cn/19/1881/188020/188020_38.png窝转脊椎动物 发表于 2025-3-28 06:38:40
,Anatomia dell’apparato respiratorio,onal neural networks, a novel classification method on image level (based on a pre-trained Inception V.3 network with dedicated preprocessing and interpretation of class activation maps) is proposed and evaluated..The newly presented approach improves recognition performance, yielding accuracies of异端 发表于 2025-3-28 14:20:59
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