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MLSE-Net: Multi-level Semantic Enriched Network for Medical Image Segmentation
Di Gai,Heng Luo,Jing He, Baogang Xie,Pengxiang Su,Zheng Huang,Song Zhang,Zhijun Tu 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.9
Medical image segmentation techniques based on convolution neural networks indulge in feature extraction triggering redundancy of parameters and unsatisfactory target localization, which outcomes in less accurate segmentation results to assist doctors in diagnosis. In this paper, we propose a multi-level semantic-rich encoding-decoding network, which consists of a Pooling-Conv-Former (PCFormer) module and a Cbam-Dilated-Transformer (CDT) module. In the PCFormer module, it is used to tackle the issue of parameter explosion in the conservative transformer and to compensate for the feature loss in the down-sampling process. In the CDT module, the Cbam attention module is adopted to highlight the feature regions by blending the intersection of attention mechanisms implicitly, and the Dilated convolution-Concat (DCC) module is designed as a parallel concatenation of multiple atrous convolution blocks to display the expanded perceptual field explicitly. In addition, Multi-Head Attention-DwConv-Transformer (MDTransformer) module is utilized to evidently distinguish the target region from the background region. Extensive experiments on medical image segmentation from Glas, SIIM-ACR, ISIC and LGG demonstrated that our proposed network outperforms existing advanced methods in terms of both objective evaluation and subjective visual performance.
Liu, Lian-Ke,Wu, Heng-Fang,Guo, Zhi-Rui,Chen, Xiang-Jian,Yang, Di,Shu, Yong-Qian,Zhang, Ji-Nan Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.6
Objective: Lung cancer is one of the malignant tumors with greatest morbidity and mortality around the world. The keys to targeted therapy are discovery of lung cancer biomarkers to facilitate improvement of survival and quality of life for the patients with lung cancer. Translationally controlled tumor protein (TCTP) is one of the most overexpressed proteins in human lung cancer cells by comparison to the normal cells, suggesting that it might be a good biomarker for lung cancer. Materials and Methods: In the present study, the targeted efficacy of dihydroartemisinin (DHA) on TCTP expression in the A549 lung cancer cell model was explored. Results and Conclusions: DHA could inhibit A549 lung cancer cell proliferation, and simultaneously up-regulate the expression of TCTP mRNA, but down-regulate its protein expression in A549 cells. In addition, it promoted TCTP protein secretion. Therefore, TCTP might be used as a potential biomarker and therapeutic target for non-small cell lung cancers.
Synthesis of N-Azaaryl Anilines: An Efficient Protocol via Smiles Rearrangement
Xia, Shuai,Wang, Li-Ying,Sun, Heng-Zhi,Yue, Huan,Wang, Xiu-Hua,Tan, Jia-Lian,Wang, Yin,Hou, Di,He, Xiao-Yan,Mun, Ki-Cheol,Kumar, B. Prem,Zuo, Hua,Shin, Dong-Soo Korean Chemical Society 2013 Bulletin of the Korean Chemical Society Vol.34 No.2
An efficient process for the synthesis of N-azaaryl anilines via Smiles rearrangement as a tool. A variety of N-azaaryl anilines were generated by the reaction of substituted phenols, substituted anilines, aminopyridines and chloroacetyl chloride or pyridols, under base condition in good to excellent yields.
Synthesis of N-Azaaryl Anilines: An Efficient Protocol via Smiles Rearrangement
Shuai Xia,Li-Ying Wang,Heng-Zhi Sun,Huan Yue,Xiu-Hua Wang,Jia-Lian Tan,Yin Wang,Di Hou,Xiao-Yan He,Ki-Cheol Mun,B. Prem kumar,Hua Zuo,신동수 대한화학회 2013 Bulletin of the Korean Chemical Society Vol.34 No.2
An efficient process for the synthesis of N-azaaryl anilines via Smiles rearrangement as a tool. A variety of Nazaaryl anilines were generated by the reaction of substituted phenols, substituted anilines, aminopyridines and chloroacetyl chloride or pyridols, under base condition in good to excellent yields.
Hui-Xian Yan,Hai-Lian Hong,Lian-Hui Zheng,Heng-Di Su 한국물리학회 2018 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.73 No.7
Due to ionic migration and adsorption, an electrical double layer with a thickness scaled by the Debye length is formed at the hydrogel-solution interface. For a thin temperature-pH dual sensitive hydrogel whose chickness is comparable to the Debye length, its mechanical behavior may be affected by the electrical double layer. In this paper, by incorporating electromagnetic field theory into thermodynamic theory, we develop a coupled field theory for a temperature-pH dual sensitive hydrogel, and we take into account the electrical double layer. The proposed model can be used to analyze the in uences of the size effect, ionic concentration, ambient temperature and solution pH value on the swelling of a thin layer of the temperature-pH sensitive hydrogel.