2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 International Conference on Computer Vision ...
van Spengler, M. +2 more
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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
doaj +3 more sources
Adenoma Dysplasia Grading of Colorectal Polyps Using Fast Fourier Convolutional ResNet (FFC-ResNet)
IEEE Access, 2023 Colorectal polyps are precursor lesions of colorectal cancer; hence, early detection and dysplasia grading of polyps are essential for determining cancer risk, the possibility of developing subsequent polyps, and follow-up recommendations. The significant contribution of this study is the development of an enhanced deep-learning model called Fast ...
May Phu Paing, Chuchart Pintavirooj
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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
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Comparative Analysis of Transfer Learning-Based CNN Approaches for Recognition of Traffic Signs in Autonomous Vehicles [PDF]
E3S Web of Conferences, 2023 Traffic signs recognition has a crucial role in enhancing the safety and efficienty of autonomous vehicles (AVs). This AVs can contribute to a cleaner and healthier environment by improving fuel efficiency, minimizing travel distances, and deacreasing ...
Fatima Ezzahra Khalloufi +2 more
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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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QARV: Quantization-Aware ResNet VAE for Lossy Image Compression [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 This paper addresses the problem of lossy image compression, a fundamental problem in image processing and information theory that is involved in many real-world applications.
Zhihao Duan +4 more
semanticscholar +1 more source
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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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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