TUMOR
发表于 2025-3-21 17:10:46
书目名称Data-Driven Clinical Decision-Making Using Deep Learning in Imaging影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0284461<br><br> <br><br>书目名称Data-Driven Clinical Decision-Making Using Deep Learning in Imaging影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0284461<br><br> <br><br>书目名称Data-Driven Clinical Decision-Making Using Deep Learning in Imaging网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0284461<br><br> <br><br>书目名称Data-Driven Clinical Decision-Making Using Deep Learning in Imaging网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0284461<br><br> <br><br>书目名称Data-Driven Clinical Decision-Making Using Deep Learning in Imaging被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0284461<br><br> <br><br>书目名称Data-Driven Clinical Decision-Making Using Deep Learning in Imaging被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0284461<br><br> <br><br>书目名称Data-Driven Clinical Decision-Making Using Deep Learning in Imaging年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0284461<br><br> <br><br>书目名称Data-Driven Clinical Decision-Making Using Deep Learning in Imaging年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0284461<br><br> <br><br>书目名称Data-Driven Clinical Decision-Making Using Deep Learning in Imaging读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0284461<br><br> <br><br>书目名称Data-Driven Clinical Decision-Making Using Deep Learning in Imaging读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0284461<br><br> <br><br>
GENUS
发表于 2025-3-21 22:29:34
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conceal
发表于 2025-3-22 00:31:26
,A Precise Cervical Cancer Classification in the Early Stage Using Transfer Learning-Based Ensemble eatment, a principle applicable to all cancer variants. Although the Pap smear test stands as the benchmark for this type of cancer diagnosis, the accuracy of this diagnosis depends on the skill and attentiveness of the healthcare provider. Considerable efforts have been directed toward leveraging a
monochromatic
发表于 2025-3-22 04:40:31
,Unveiling Diagnostic Precision: Evaluating Machine Learning and Deep Learning Approaches for Pneumoion from large and complex medical image datasets. Currently, medical image datasets are increasing rapidly in size and complexity. Additionally, these algorithms are capable of processing and analyzing enormous amounts of data much more quickly and precisely than manual methods. However, it is chal
Gossamer
发表于 2025-3-22 10:34:02
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nutrition
发表于 2025-3-22 14:09:38
Privacy-Preserving Vision-Based Detection of Pox Diseases Using Federated Learning,tection is vital for effective disease management and prevention. Traditional diagnostic methods often rely on invasive procedures and may lack privacy safeguards. In response, this research leverages advanced image analysis and federated learning to introduce a privacy-preserving framework for pox
nutrition
发表于 2025-3-22 18:11:06
,Unveiling the Unique Dermatological Signatures of Human Pox Diseases Through Deep Transfer Learningies, potentially leading to misdiagnosis and delayed treatment. Currently, doctors look at samples by hand or rely on confirmation tests that are not always easy to obtain, such as polymerase chain reaction (PCR) tests, which take a long time. A few studies have focused on individual disease classif
Inflated
发表于 2025-3-22 21:56:28
,Improved Classification of Kidney Lesions in CT Scans Using CNN with Attention Layers: Achieving Hier pathological abnormalities. Precise identification and categorization of kidney abnormalities using medical imaging methods is essential for precise diagnosis and efficient treatment planning in nephrology. This paper introduces an innovative deep-learning method for precisely categorising CT kid
Externalize
发表于 2025-3-23 02:04:02
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值得尊敬
发表于 2025-3-23 05:58:34
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