Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Dangguo Shao"'
Publikováno v:
IEEE Access, Vol 12, Pp 74888-74902 (2024)
Multimodal Sentiment Analysis (MSA) is gaining attention, but faces two main challenges: efficient extraction of cross-modal features without redundancy and removing spurious correlations between sentiment labels and multimodal features. In this pape
Externí odkaz:
https://doaj.org/article/7844039d2f424a8c9a58569da3d4e0e8
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 9, Pp 16060-16082 (2023)
The purpose of infrared and visible image fusion is to integrate the complementary information from heterogeneous images in order to enhance their detailed scene information. However, existing deep learning fusion methods suffer from an imbalance bet
Externí odkaz:
https://doaj.org/article/19484f046e104886b8e311bd60c6243d
Publikováno v:
IET Image Processing, Vol 17, Iss 5, Pp 1615-1625 (2023)
Abstract Clinical diagnosis has high requirements for the resolution of medical images, but most existing medical images super‐ resolution (SR) methods are performed under a known or specific degradation kernel. However, the difference between the
Externí odkaz:
https://doaj.org/article/45397ab053b44d8eaee809b77bd52240
MRFA-Net: Kidney Segmentation Method Based on Multi-Scale Feature Fusion and Residual Full Attention
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2302 (2024)
For the characterization of the kidney segmentation task, this paper proposes a self-supervised kidney segmentation method based on multi-scale feature fusion and residual full attention, named MRFA-Net. In this study, we introduce the multi-scale fe
Externí odkaz:
https://doaj.org/article/af52fd0e65904160b75027c803668599
Publikováno v:
IEEE Access, Vol 11, Pp 142689-142701 (2023)
In the diagnosis of glaucoma based on deep learning, it is more meaningful for ophthalmologist to make a graded diagnosis using fundus images to reflect the degree of disease. Such multi-classification diagnosis tasks require a larger amount of data
Externí odkaz:
https://doaj.org/article/0ac0ab30f7f54442a3ae6ac068343032
Publikováno v:
Biomedicines, Vol 11, Iss 6, p 1733 (2023)
Segmentation of skin lesion images facilitates the early diagnosis of melanoma. However, this remains a challenging task due to the diversity of target scales, irregular segmentation shapes, low contrast, and blurred boundaries of dermatological grap
Externí odkaz:
https://doaj.org/article/ff2543c80d5c4b959bdcc3eea876d595
Publikováno v:
Agriculture, Vol 13, Iss 6, p 1110 (2023)
Accurate detection of key body parts of cattle is of great significance to Precision Livestock Farming (PLF), using artificial intelligence for video analysis. As the background image in cattle livestock farms is complex and the target features of th
Externí odkaz:
https://doaj.org/article/ff0acbe53a4e4a729f0b96d8eb4f3856
Publikováno v:
IEEE Access, Vol 7, Pp 12993-13002 (2019)
Most of the current word segmentation methods are rule-based and traditional machine learning methods. Universal word segmentation tools do not work well in the field such as metallurgy. Domain-specific Chinese word segmentation is rarely studied. In
Externí odkaz:
https://doaj.org/article/81ffdcf321594cf491d5fccd06851ad4
Publikováno v:
IEEE Access, Vol 7, Pp 120337-120349 (2019)
In the past decades, the ensemble systems have been shown as an efficient method to increase the accuracy and stability of classification algorithms. However, how to get a valid combination of multiple base-classifiers is still an open question to be
Externí odkaz:
https://doaj.org/article/4862288985234b7ebd337b7cd87b52ac
Publikováno v:
Biomedicines; Volume 11; Issue 6; Pages: 1733
Segmentation of skin lesion images facilitates the early diagnosis of melanoma. However, this remains a challenging task due to the diversity of target scales, irregular segmentation shapes, low contrast, and blurred boundaries of dermatological grap