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Peer Review #1 of 'Prognostic analysis of histopathological images using pre-trained convolutional neural networks: application to hepatocellular carcinoma (v0.2)'

机译：同行评论第1名“使用预先培训的卷积神经网络的组织病理学图像的预后分析：肝细胞癌（v0.2）”

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机译：微调预训练卷曲神经网络，用于胃癌癌癌癌的分类窄带成像图像
2. Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b‐values using convolutional neural networks [J] . Zhou Wu, Wang Guangyi, Xie Guoxi, Medical Physics . 2019,第9期

机译：基于卷积神经网络的多个B值的扩散加权图像的肝细胞癌分级
3. Filter pruning by image channel reduction in pre-trained convolutional neural networks [J] . Chung Gi Su, Won Chee Sun Multimedia Tools and Applications . 2021,第20期

机译：通过图像通道减少在预训练的卷积神经网络中的图像通道减速
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机译：深度卷积神经网络从腹部CT图像预测肝细胞癌的治疗反应
5. A Bayesian Convolutional Neural Network Based Classifier to Detect Breast Cancer from Histopathological Images and Uncertainty Quantification [D] . ?Khairnar, Pushkar 2020

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6. Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images [O] . Sivaramakrishnan Rajaraman, Sameer K. Antani, Mahdieh Poostchi, -1

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7. Peer Review #1 of "Prognostic analysis of histopathological images using pre-trained convolutional neural networks: application to hepatocellular carcinoma (v0.1)" [O] . 2020

机译：同行评论第1名“使用预先训练的卷积神经网络的组织病理学图像的预后分析”：应用于肝细胞癌（V0.1）“

Peer Review #1 of 'Prognostic analysis of histopathological images using pre-trained convolutional neural networks: application to hepatocellular carcinoma (v0.2)'

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