Intestinal Polyp Segmentation Based on Histogram Equalization ResNet (PE-ResNet)
Zhongguo yiliao qixie zazhiColonoscopy is an important technical means for screening early colorectal cancer lesions. Accurate segmentation of intestinal polyps helps improve the accuracy of screening.
Yukun AN +4 more
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An Improved ResNet Based on the Adjustable Shortcut Connections
IEEE Access, 2018 ResNet can achieve deeper network and higher performance, but there is no good explanation for how identity shortcut connections solve the gradient fading problems. Moreover, it is not reasonable to adopt identity mapping for all layer parameters.
Baoqi Li
exaly +3 more sources
An Efficient Face Mask Detector with PyTorch and Deep Learning [PDF]
EAI Endorsed Transactions on Pervasive Health and Technology, 2021 INTRODUCTION: The outbreak ofacoronavirus disease in 2019 (COVID-19) has created a global health epidemic that has had a major effect on the way we view our environment and our daily lives.
CMAK. Basha, B.N. Pravallika, E. Shankar
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ResNet or DenseNet? Introducing Dense Shortcuts to ResNet [PDF]
2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021 Accepted to WACV2021 first ...
Zhang, Chaoning +7 more
openaire +2 more sources
Segmentation of bone structures with the use of deep learning techniques [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021 The paper is focused on automatic segmentation task of bone structures out of CT data series of pelvic region. The authors trained and compared four different models of deep neural networks (FCN, PSPNet, U-net and Segnet) to perform the segmentation task
Zuzanna Krawczyk, Jacek Starzyński
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Gambling web page recognition algorithm design based on deep residual neural network
Dianzi Jishu Yingyong, 2022 The Internet has an important impact on people′s life and work. However, there are a large number of harmful gambling websites hidden in cyberspace, which is easy to cause losses and troubles to netizens, it can even disturb society order.
Zhang Cong +4 more
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Image Description Generator using Residual Neural Network and Long Short-Term Memory [PDF]
Computer Science Journal of Moldova, 2023 Human beings can describe scenarios and objects in a picture through vision easily whereas performing the same task with a computer is a complicated one.
Mahesh Kumar Morampudi +3 more
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Microscopic recognition of micro fossils in carbonate rocks based on convolutional neural network
Shiyou shiyan dizhi, 2021 The identification of microfossils in carbonate rocks with thin-section observation is of great significance for the study of sedimentary environment, but the traditional method by manual identification is highly experience required and is greatly ...
Xiaolu YU +4 more
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Diabetic Retinopathy Detection From Fundus Images Using Multi-Tasking Model With EfficientNet B5 [PDF]
ITM Web of Conferences, 2022 Diabetic Retinopathy (DR) is a common eye disease that affects over 3 million people annually. People with diabetes are more prone to suffer from Diabetic Retinopathy. This condition can cause blurring of vision and blindness.
Bhawarkar Yash +3 more
doaj +1 more source
Automatic adaptive weighted fusion of features-based approach for plant disease identification
Journal of Intelligent Systems, 2023 With the rapid expansion in plant disease detection, there has been a progressive increase in the demand for more accurate systems. In this work, we propose a new method combining color information, edge information, and textural information to identify ...
Kirti +2 more
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