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Peer Review #2 of 'Performance analysis of lightweight CNN models to segment infectious lung tissues of COVID-19 cases from tomographic images (v0.2)'

机译：同步审查“轻量级CNN模型的性能分析到分部Iovid-19案例中的轻量级CNN模型的性能分析（V0.2）”

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1. Performance analysis of lightweight CNN models to segment infectious lung tissues of COVID-19 cases from tomographic images [J] . Tharun J. Iyer, Alex Noel Joseph Raj, Sushil Ghildiyal, PeerJ Computer Science . 2021,第a期

机译：轻量级CNN模型对切断图像段段传染性肺组织的性能分析
2. Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images [J] . Paluru Naveen, Dayal Aveen, Jenssen Havard Bjorke, Neural Networks and Learning Systems, IEEE Transactions on . 2021,第3期

机译：Anam-net：基于变形的深度嵌入的轻量级CNN，用于Covid-19胸部CT图像中的异常分割
3. Tissue feature-based and segmented deformable image registration for improved modeling of shear movement of lungs. [J] . Xie Y, Chao M, Xing L International Journal of Radiation Oncology, Biology, Physics . 2009,第4期

机译：基于组织特征和分段可变形图像配准，用于改进肺部剪切运动的建模。
4. A Review on Automatic COVID-19 Lung Lesions Detection from Tomographical Image [C] . Nivedita Rawat, Jitendra Agrawal, Yogendra P S Maravi International Conference on Communication Systems and Network Technologies . 2021

机译：自动Covid-19肺病灶检测综述从图谱图像检测
5. A Peer Review Analysis: A Comparative Examination of Selected African-American and Caucasian Female Athletes' Image Restoration. [D] . Cobb, Tiffany C. 2012

机译：同行评议分析：对非裔美国和白人女运动员形象恢复的比较检查。
6. Deep CNN models for predicting COVID-19 in CT and x-ray images [O] . Ahmad Chaddad, Lama Hassan, Christian Desrosiers 2021

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7. Peer Review #1 of "Performance analysis of lightweight CNN models to segment infectious lung tissues of COVID-19 cases from tomographic images (v0.2)" [O] . 2021

机译：同行评论第1名“轻量级CNN模型的性能分析到分层图像的Covid-19案件（V0.2）”（V0.2）“
8. Artifactual Reductions of Segmental Indicator Tissue Concentrations on Tomographic Images of the Heart Caused by Regional Wall Motion Abnormalities [R] . Parodi, O., Schelbert, H. R., Schwaiger, M., 1984

机译：区域壁运动异常引起的心脏断层图像上节段指标组织浓度的人为减少

Peer Review #2 of 'Performance analysis of lightweight CNN models to segment infectious lung tissues of COVID-19 cases from tomographic images (v0.2)'

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