Author
Xuedong Song
Bio: Xuedong Song is an academic researcher from Beihang University. The author has contributed to research in topics: Image retrieval & Deep learning. The author has an hindex of 1, co-authored 2 publications receiving 2 citations.
Papers
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TL;DR: In this article, a hybrid dilated convolution spatial attention module is proposed, which can focus on key information and suppress irrelevant information based on the complex morphological characteristics of dermoscopic images.
3 citations
08 Apr 2018
TL;DR: The proposed retrieve method uses the color moments and Gabor wavelet to extract features and implements retrieval function by SKLSH hash code, and shows that the method obtains the best retrieval result.
Abstract: Dermoscopy image retrieval can assist dermatologists to make a diagnosis by reference to confirmed cases, which can improve the accuracy of the diagnosis result. This paper proposed a retrieve method based on the combination of color and texture. The proposed method uses the color moments and Gabor wavelet to extract features and implements retrieval function by SKLSH hash code. In the experiments stage, we retrieve dermoscopy images including 4 kinds of skin diseases from the datasets which are pigmented nevus, seborrheic keratosis, psoriasis and eczema. Besides, we compared our methods with other color and texture features, as well as other dermoscopy image retrieval method, and the results show that our method obtains the best retrieval result.
1 citations
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TL;DR: In this article, the authors investigated the relationship between white matter volume and sleep quality and found that white matter is a crucial component in the structural neuroanatomy and brain white structure is associated with brain function, behavior and cognition.
Abstract: Many studies have focused on the gray matter volume associated with sleep quality, little is known about the relationship between white matter volume and sleep quality. Brain white structure is a crucial component in the structural neuroanatomy. Therefore, in this study, we investigated the association between white matter volume and sleep quality. Data were collected using the Pittsburgh Sleep Quality Index and voxel-based morphometry among 352 college students. Results showed that the global PSQI score was negatively associated with the white matter volume, including in the right middle occipital gyrus, the left superior temporal gyrus, the right the precentral gyrus, the left supramarginal gyrus, the left middle frontal gyrus, the left precunes, and the right superior frontal gyrus. Results also indicated that the white matter volume in specific regions negatively associated with the factor of PSQI. These specific brain regions may be replicated in brain areas related to sleep quality. In summary, we suggested that exploring brain white structure are related to sleep could help to expound the mechanisms by which sleep quality are associated with brain function, behavior and cognition, as well as potentially the networks and systems responsible for variations in sleep themselves.
5 citations
TL;DR: In this article, a hybrid dilated convolution spatial attention module is proposed, which can focus on key information and suppress irrelevant information based on the complex morphological characteristics of dermoscopic images.
3 citations
TL;DR: In this paper , a triplet-wise learning method is proposed to address the deficiencies of point-wise and pairwise learning in characterizing the similarity relationships between image classes, which can lead to suboptimal segregation of opponent classes and limited generalization performance.