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Jun-Ning Zhang,Qun-Xing Su,Peng-Yuan Liu,Hong-Yu Ge,Ze-Feng Zhang 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.10
We take formulate structure from motion as a learning problem, and propose an end-to-end learning framework to calculate the image depth, optical flow, and the camera motion. This framework is composed of multiple encoder-ecoder networks. The key part of the network structure is the FlowNet, which can improve the accuracy of the estimated camera ego-motion and depth. As with recent studies, we use an end-to-end learning approach with multi-view synthesis as a variety of supervision, and proposes multi-view consistency losses to constrain both depth and camera ego-motion, requiring only monocular video sequences for training. Compared to the recently popular depth-estimation-networks using a single image, our network learns to use motion parallax correction depth. Although MuDeepNet training requires the use of two adjacent frames to obtain motion parallax, it is tested by using a single image. Thus, MuDeepNet is a monocular system. The experiments on KITTI dataset show our MuDeepNet outperforms other methods.
Zhou Meng-jiao,Yang Jia-jie,Ma Ting-yao,Feng Ge-xuan,Wang Xue-lian,Wang Li-Yong,Ge Yu-ze,Gao Ran,Hong-liang Liu,Shan Lin,Kong Lu,Chen Xiao-hong 생화학분자생물학회 2023 Experimental and molecular medicine Vol.55 No.-
MYB-NFIB fusion and NOTCH1 mutation are common hallmark genetic events in salivary gland adenoid cystic carcinoma (SACC). However, abnormal expression of MYB and NOTCH1 is also observed in patients without MYB-NFIB fusion and NOTCH1 mutation. Here, we explore in-depth the molecular mechanisms of lung metastasis through single-cell RNA sequencing (scRNA-seq) and exome target capture sequencing in two SACC patients without MYB-NFIB fusion and NOTCH1 mutation. Twenty-five types of cells in primary and metastatic tissues were identified via Seurat clustering and categorized into four main stages ranging from near-normal to cancer-based on the abundance of each cell cluster in normal tissue. In this context, we identified the Notch signaling pathway enrichment in almost all cancer cells; RNA velocity, trajectory, and sub-clustering analyses were performed to deeply investigate cancer progenitor-like cell clusters in primary tumor-associated lung metastases, and signature genes of progenitor-like cells were enriched in the “MYC_TARGETS_V2” gene set. In vitro, we detected the NICD1-MYB-MYC complex by co-immunoprecipitation (Co-IP) and incidentally identified retinoic acid (RA) as an endogenous antagonist of genes in the “MYC_TARGETS_V2” gene set. Following this, we confirmed that all-trans retinoic acid (ATRA) suppresses the lung metastasis of SACC by correcting erroneous cell differentiation mainly caused by aberrant NOTCH1 or MYB expression. Bioinformatic, RNA-seq, and immunohistochemical (IHC) analyses of primary tissues and metastatic lung tissues from patients with SACC suggested that RA system insufficiency partially promotes lung metastasis. These findings imply the value of the RA system in diagnosis and treatment.