专家
发表于 2025-3-21 20:07:50
书目名称Recent Trends in Image Processing and Pattern Recognition影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0823454<br><br> <br><br>书目名称Recent Trends in Image Processing and Pattern Recognition影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0823454<br><br> <br><br>书目名称Recent Trends in Image Processing and Pattern Recognition网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0823454<br><br> <br><br>书目名称Recent Trends in Image Processing and Pattern Recognition网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0823454<br><br> <br><br>书目名称Recent Trends in Image Processing and Pattern Recognition被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0823454<br><br> <br><br>书目名称Recent Trends in Image Processing and Pattern Recognition被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0823454<br><br> <br><br>书目名称Recent Trends in Image Processing and Pattern Recognition年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0823454<br><br> <br><br>书目名称Recent Trends in Image Processing and Pattern Recognition年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0823454<br><br> <br><br>书目名称Recent Trends in Image Processing and Pattern Recognition读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0823454<br><br> <br><br>书目名称Recent Trends in Image Processing and Pattern Recognition读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0823454<br><br> <br><br>
元音
发表于 2025-3-21 21:03:13
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无所不知
发表于 2025-3-22 03:21:53
Data Characterization for Reliable AI in Medicinetly patient care. However, these algorithms are highly impacted by the characteristics of the underlying data. In this work, we discuss various data characteristics, namely ., and . that impact the design, reliability, and evolution of machine learning in medical computer vision. Further, we discuss
Charitable
发表于 2025-3-22 05:50:01
Alzheimer’s Disease Detection Using Ensemble Learning and Artificial Neural Networksr and widely used open access series of imaging studies (OASIS) dataset for Alzheimer’s disease (AD) detection. The proposed work performs an in-depth feature examination and a training-test split in a 70 : 30 ratio on the dataset and applies 8 different ML algorithms. The AD detection outcome is ob
发源
发表于 2025-3-22 10:19:23
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拘留
发表于 2025-3-22 13:40:12
Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for Autisare getting benefit from these advancements and one of these areas is medical imaging. Despite rapid advancements in machine learning based medical condition diagnosis systems (CADs), some ailments and disorders are hard to diagnose/classify due to the absence or the lack of consensus on biomarkers
盘旋
发表于 2025-3-22 20:48:05
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cravat
发表于 2025-3-22 23:44:57
Analyzing Chest X-Ray to Detect the Evidence of Lung Abnormality Due to Infectious Diseasearge effect on almost every facet of life. As COVID-19 was a disease only discovered in recent history, there is comparatively little data on the disease, how it is detected, and how it is cured. Deep learning is a powerful tool that can be used to learn to classify information in ways that humans m
吹气
发表于 2025-3-23 04:58:21
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induct
发表于 2025-3-23 06:24:42
A Novel Approach to Enhance Effectiveness of Image Segmentation Techniques on Extremely Noisy Medicantation. In this study, I have subjected medical images from LiTS - Liver Tumour Segmentation Challenge, which are extremely noisy, to various image segmentation techniques belonging to fully automatic and semi-automatic categories. These varied techniques implement different approaches towards imag