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Peer Review #1 of 'Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images (v0.1)'

机译：同行评论“预先培训的卷积神经网络的”临时卷曲神经网络中的特征提取器，朝向薄血液涂片图像（V0.1）中改善疟疾寄生虫检测“

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G Gopalakrishna Pillai;
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年度 2018
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1. Pre-trained convolutional neural networks as feature extractors for tuberculosis detection [J] . U.K. Lopes, J.F. Valiati Computers in Biology and Medicine . 2017,第期

机译：预先培训的卷积神经网络作为结核病检测的特征提取器
2. Convolutional neural network‐based malaria diagnosis from focus stack of blood smear images acquired using custom‐built slide scanner [J] . Gopakumar Gopalakrishna Pillai, Swetha Murali, Sai Siva Gorthi, Journal of Biophotonics . 2018,第3期

机译：基于卷积神经网络的疟疾诊断从使用定制幻灯片扫描仪获取的血液涂片图像的焦点堆叠
3. Image analysis approach for development of a decision support system for detection of malaria parasites in thin blood smear images [J] . PrasadK., WinterJ., BhatU.M., Journal of digital imaging: the official journal of the Society for Computer Applications in Radiology . 2012,第4期

机译：图像分析方法，用于开发决策支持系统以检测薄血涂片图像中的疟原虫
4. Analysis of Convolutional Neural Networks and Shape Features for Detection and Identification of Malaria Parasites on Thin Blood Smears [C] . Kristofer Delas Penas, Pilarita T. Rivera, Prospero C. Naval Jr Asian conference on intelligent information and database systems . 2018

机译：卷积神经网络和形状特征分析，用于薄血涂片上疟原虫的检测和鉴定
5. Same Data, Same Features: Modern ImageNet-Trained Convolutional Neural Networks Learn the Same Thing [D] . McNeely-White, David G. 2020

机译：相同的数据，特点：现代想象训练卷大神经网络了解同样的事情
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

机译：预训练卷积神经网络作为特征提取器可改善薄血涂片图像中的疟疾寄生虫检测
7. Peer Review #1 of "Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images (v0.2)" [O] . 2019

机译：同行评论“薄血涂片图像中疟疾寄生虫检测的绩效评估”第1名（v0.2）“

Peer Review #1 of 'Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images (v0.1)'

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