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优化推理分布,以高效地对脏瘤进行细分,使用UNet-PWP深度学习模型与CT扫描图像上的XAI

P Kiran Rao1,2, Subarna Chatterjee2, M Janardhan3

  • 1Artificial Intelligence, Department of Computer Science and Engineering, Ravindra College of Engineering for Women, Kurnool 518001, India.

Diagnostics (Basel, Switzerland)
|October 28, 2023
PubMed
概括

一个新的UNet-PWP架构使用自适应分区和预训练的重量有效地对瘤进行细分. 这种方法达到97.01%的准确性,优于DeepLab V3+并为临床使用提供可解释的AI洞察力.

关键词:
深度实验室V3+GCAM-注意的注意力联合国网络-PWP工作组适应式分区是适应式的分区.可以解释的人工智能AI瘤细分 瘤细分 瘤细分优化的优化优化优化.重量削减 削减 削减 削减

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