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ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ, 2023
DenseNet (плотно связанная сверточная сеть) - это плотная высокоточная нейронная сеть, предложенная в 2017 году. Успех сети ResNet показывает, что укороченные соединения в сверточных сетях позволяют обучать более глубокие и точные модели [1].
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DenseNet (плотно связанная сверточная сеть) - это плотная высокоточная нейронная сеть, предложенная в 2017 году. Успех сети ResNet показывает, что укороченные соединения в сверточных сетях позволяют обучать более глубокие и точные модели [1].
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Enhancing liver tumor segmentation with UNet-ResNet: Leveraging ResNet’s power
Technology and Health CareBACKGROUND: Liver cancer poses a significant health challenge due to its high incidence rates and complexities in detection and treatment. Accurate segmentation of liver tumors using medical imaging plays a crucial role in early diagnosis and treatment planning.
K Selva, Sheela +3 more
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Food Recognition with ResNet-50
2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 2020Object recognition has spurred much attention in recent years. The fact that computers are now able to detect and recognize objects has made Artificial Intelligence field, especially machine learning grow very rapidly. The proposed framework uses Deep Convolutional Neural Network (DCNN) that is based on ResNet 50 architecture.
Zharfan Zahisham +2 more
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Disease Recognition of Crops using ResNet and MDFC-ResNet
2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 2023A. Yuva Krishna +5 more
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A Deep Learning Review of ResNet Architecture for Lung Disease Identification in CXR Image
Applied Sciences (Switzerland), 2023Anindya Apriliyanti Pravitasari +2 more
exaly
A hybrid attention improved ResNet based fault diagnosis method of wind turbines gearbox
Measurement: Journal of the International Measurement Confederation, 2021Kai Zhang, Baoping Tang
exaly