Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Haidi Fan"'
Publikováno v:
IEEE Access, Vol 6, Pp 65130-65138 (2018)
In this paper, a novel melanoma classification method based on convolutional neural networks is proposed for dermoscopy images. First a region average pooling (RAPooling) method is introduced which makes feature extraction can focus on the region of
Externí odkaz:
https://doaj.org/article/91a1c84a17524484923988acb615959a
Publikováno v:
Saudi Medical Journal; Nov2023, Vol. 44 Issue 11, p1113-1119, 7p
Publikováno v:
2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).
Publikováno v:
2022 3rd International Conference on Electronics, Communications and Information Technology (CECIT).
Autor:
Jinxiu Song, Juyun Ma, Haidi Fan, Suhua Qi, Wang Yanling, Zhaoli Hu, Heng Cai, Linyan Huang, Jiangang Shen, Wan Wang, Jingjing Xu
BackgroundNeural stem cell proliferation is a critical process in endogenous neurogenesis after ischemic/reperfusion injury. Ischemic succinate accumulation causes cerebral damage due to excess reactive oxygen species production. However, it remains
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02d553430690fd68d3062236bc57861b
https://doi.org/10.21203/rs.3.rs-871703/v1
https://doi.org/10.21203/rs.3.rs-871703/v1
Autor:
Xiaoling Zhou, Haidi Fan, Juyun Ma, Suhua Qi, Jiangang Shen, Hansen Chen, Zhaoli Hu, Heng Cai, Feng-Ying Li
Publikováno v:
Brain research bulletin. 170
The deacetylase SIRT1 has been reported to play a critical role in regulating neurogenesis, which may be an adaptive processes contributing to recovery after stroke. Our previous work showed that the antioxidant capacity of Momordica charantia polysa
Publikováno v:
Bioscience Reports
KRAB domain-associated protein 1 (KAP1) is highly expressed in atherosclerotic plaques. Here, we studied the role of KAP1 in atherosclerosis development using a cell model of endothelial dysfunction induced by oxidative low-density lipoprotein (OxLDL
Publikováno v:
ICIP
Lesion segmentation is one of the crucial steps for computerized dermoscopy image analysis. To accurately extract lesion borders from dermoscopy images, a novel segmentation method based on fully convolutional neural network is proposed in this paper
Publikováno v:
IEEE transactions on medical imaging. 36(3)
We develop a novel method for classifying melanocytic tumors as benign or malignant by the analysis of digital dermoscopy images. The algorithm follows three steps: first, lesions are extracted using a self-generating neural network (SGNN); second, f
Publikováno v:
Bioscience Reports; Aug2020, Vol. 40 Issue 8, p1-11, 11p