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书目名称Soil Emission of Nitrous Oxide and its Mitigation影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0871230<br><br> <br><br>书目名称Soil Emission of Nitrous Oxide and its Mitigation影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0871230<br><br> <br><br>书目名称Soil Emission of Nitrous Oxide and its Mitigation网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0871230<br><br> <br><br>书目名称Soil Emission of Nitrous Oxide and its Mitigation网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0871230<br><br> <br><br>书目名称Soil Emission of Nitrous Oxide and its Mitigation被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0871230<br><br> <br><br>书目名称Soil Emission of Nitrous Oxide and its Mitigation被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0871230<br><br> <br><br>书目名称Soil Emission of Nitrous Oxide and its Mitigation年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0871230<br><br> <br><br>书目名称Soil Emission of Nitrous Oxide and its Mitigation年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0871230<br><br> <br><br>书目名称Soil Emission of Nitrous Oxide and its Mitigation读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0871230<br><br> <br><br>书目名称Soil Emission of Nitrous Oxide and its Mitigation读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0871230<br><br> <br><br>伟大 发表于 2025-3-21 22:45:54
David Ussiri,Rattan Lalf irreversible angle-closure glaucoma. Clinical identification of PAS requires indentation gonioscopy, which is patient-contacting and time-consuming. Thus, we aim to design an automatic deep-learning-based method for PAS recognition based on non-contacting anterior segment optical coherence tomograPerceive 发表于 2025-3-22 02:49:44
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David Ussiri,Rattan Lalysis. Computer-aided nuclei grading aims to improve pathologists’ work efficiency while reducing their misdiagnosis rate by automatically identifying the grades of tumor nuclei within histopathological images. Such a task requires precisely segment and accurately classify the nuclei. However, most oFILTH 发表于 2025-3-22 12:29:01
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David Ussiri,Rattan Lalata is very common, especially in ophthalmic image analysis, since manual annotation is time-consuming and labor-intensive. Self-supervised learning (SSL) methods bring huge opportunities for better utilizing unlabeled data, as they do not need massive annotations. With an attempt to use as many asfacetious 发表于 2025-3-23 03:25:33
David Ussiri,Rattan Laling recent works employ deep neural network (DNN) to regress the probe motion. However, these deep regression-based methods leverage the DNN to overfit on the specific training data, which is naturally lack of generalization ability for the clinical application. In this paper, we are back to general赔偿 发表于 2025-3-23 06:37:06
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